psychology and social media research topics

200+ Best Psychology Research Topics On Social Media For Students

Discover psychology research topics on social media. Explore how platforms like Facebook and Instagram affect emotions, relationships, and identity. Dive into the fascinating world where psychology meets digital culture to understand online behavior and well-being.

Hey, let’s chat about something cool: how social media messes with our heads! You know those apps we’re always scrolling through? Well, psychologists are digging into how they make us feel and act.

Ever felt weird after spending too much time online? Or noticed it affecting your friendships? Yeah, we’re gonna uncover all that! So, grab a seat and let’s dive into the wild world of social media and psychology!

Table of Contents

The Impact of Social Media on Mental Health

Here we go:-

• Connection Boost: Bridging distances, fostering community.
• Self-Expression Hub: A platform for showcasing identities.
• Info Access: Help and support at your fingertips.
• Stigma Smasher: Raising awareness, fighting taboos.
• Comparison Trap: Feeling inadequate amidst curated lives.
• Bullying Hub: Mean comments, hurtful messages.
• Screen Addiction: Lost sleep, neglected real-life ties.
• Body Image Stress: Unrealistic standards, low self-esteem.

Stay Balanced

• Time Limits: Breaks and bedtime breaks from scrolling.
• Positive Feeds: Follow accounts that uplift you.
• Real Connections: Prioritize face-to-face chats.
• Be Kind to Yourself: Remember, online isn’t always real.
• Get Help if Needed: Seek support if social media brings you down.

Remember, a mindful approach to social media can boost well-being while dodging pitfalls.

Emerging Trends in Social Media Psychology Research

Social media is a treasure trove for psychologists! Here’s what’s hot in social media psychology:

Algorithms at Work

• How they keep us hooked and shape our views.
• Spotting bias and discrimination in algorithm design.

Influencer Insights

• How influencers affect our trust and what we buy.
• The dark side: mental health impacts and authenticity concerns.

Mental Health Matters

• Beyond depression: exploring loneliness and FOMO.
• Cyberbullying’s toll: from PTSD to suicidal thoughts.

Social Movements Online

• Mobilizing for change: social media’s role in activism.
• Fighting fake news and building solidarity online.

Navigating Ethical Challenges in Studying Social Media Behavior

Navigating the Ethics of Social Media Research Studying social media behavior is like trekking through an ethical jungle. Here’s your survival guide:

Clear Communication

• Make sure participants know what’s up and can bail if they want.
• No tricks—be honest about what you’re studying.

Privacy Matters

• Keep identities safe by anonymizing data and locking it up tight.
• Only keep what you need, and toss it when you’re done.

Stay Fair and Kind

• Watch out for biases and protect vulnerable folks.
• Don’t mess with emotions—keep it chill for everyone.

Tell It Like It Is

• Be upfront about where your data comes from and how you got it.
• Keep it real when reporting findings—no hiding the truth.
• Get the thumbs up from the review board and sort out who owns the data.
• In short, play by the rules, keep it real, and respect people’s privacy. That way, we can all learn more about social media without causing a fuss.

Popular Research Methods in Social Media Psychology

Exploring Social Media: How We Study It

• Online surveys collect data on attitudes and behaviors.
• Social media polls reach specific groups but may have biases.

Observational Research

• Analyzing user behavior without interacting directly.
• Experience Sampling Methods offer real-time insights into usage patterns.

Content Analysis

• Automated tools and manual coding analyze themes and sentiment.
• Time-consuming but provides in-depth understanding.

Experimental Research

• Lab experiments isolate cause-and-effect relationships.
• Online experiments offer real-world insights with some limitations.

Qualitative Methods

• Focus groups and interviews delve into user experiences.
• Rich insights into motivations and emotions.

Choosing the Right Method

• Surveys for large-scale data on attitudes.
• Observational research for natural settings.
• Content analysis for understanding themes and emotions.
• Experimental research for cause-and-effect.
• Qualitative methods for rich insights.

By using these methods, we unravel the complex world of social media and its impact on our lives.

Psychology Research Topics on Social Media

Check out some of the best psychology research topics on social media:-

Social Media Addiction

• Causes of social media addiction.
• Impact on mental health.
• Managing social media addiction.
• Gender differences in addiction.
• Parental role in adolescent addiction.

Cyberbullying and Harassment

• Effects on victims.
• Anonymity’s role.
• Prevention strategies.
• Long-term consequences.
• Platform comparison.

Self-Presentation and Identity

• Social media’s effect on self-esteem.
• Cultural self-presentation differences.
• Authenticity vs. curation.
• Digital identity formation.
• Disclosure patterns.

Social Comparison and Envy

• Social media’s role in comparison.
• Envy and depression.
• Coping with envy online.
• Influencer impact on comparison.
• Gender differences in envy.

Online Relationships and Support

• Romantic relationships online.
• Social support during crises.
• Online community influence.
• Trust and deception.
• Friendship quality online.

Privacy Concerns and Behavior

• User perceptions of privacy.
• Privacy settings’ impact.
• Psychological privacy factors.
• Trust after privacy breaches.
• Protecting privacy strategies.

Digital Well-being and Health

• Digital detox effects.
• Screen time and well-being.
• Social media’s mental health benefits.
• Online mental health interventions.
• Digital mindfulness practices.

Social Influence and Persuasion

• Influencers’ impact.
• Persuasive marketing techniques.
• Social media activism.
• Political echo chambers.
• Content virality factors.

Cross-Cultural Studies

• Cultural differences in usage.
• Communication styles impact.
• Cultural perceptions of social media.
• Etiquette in different cultures.
• Globalization’s influence.

Online Education and Learning

• Social media’s role in online learning.
• Collaborative learning online.
• Distractions’ academic impact.
• Online teacher-student dynamics.
• Student engagement strategies.

Digital Literacy and Critical Thinking

• Developing digital literacy.
• Evaluating online information.
• Critical thinking online.
• Responsible social media use.
• Combating misinformation.

Behavioral Economics and Social Media

• Behavioral economics on platforms.
• Social media’s consumer impact.
• Nudges’ online effectiveness.
• Social media ads’ influence.
• Online reviews’ power.

Online Gaming and Communities

• Gaming community motivations.
• Virtual friendships.
• Gaming addiction effects.
• Social media in gaming.
• Virtual reality’s social impact.

Technological Innovations and Experience

• User experience design.
• New tech on social media.
• Personalization algorithms’ impact.
• Ethical UI considerations.
• Accessibility in design.

Online Communities and Capital:

• Building social capital online.
• Trust in virtual communities.
• Social media’s cohesion role.
• Community engagement strategies.
• Social influence in groups.

Influencer Culture and Marketing

• Influencer impact on behavior.
• Credibility in influencer marketing.
• Authenticity vs. sponsored content.
• Ethical influencer practices.
• Long-term brand trust.

Social Media and Political Engagement

• Social media’s political role.
• Echo chambers’ effects.
• Online political polarization.
• Social media’s voter impact.
• Political misinformation.

Social Media and Parenting

• Parental mediation strategies.
• Parental online impact.
• Online safety talks.
• Risks for adolescents.
• Digital citizenship education.

User-generated Content and Creativity

• Content creation motivations.
• Impact on brand engagement.
• Creating viral content.
• Collaborative creativity online.
• Copyright and ethics.

Social Media Analytics and Data Privacy

• Ethical data use.
• Privacy concerns in analytics.
• Algorithm fairness.
• User trust and privacy.
• Data security strategies.

Health Communication and Social Media

• Health campaigns’ effectiveness.
• Online health support.
• Social media’s health impact.
• Ethical health promotion.
• Misinformation risks.

Online Privacy and Trust

• Trust-building strategies.
• User data perceptions.
• Privacy breaches’ trust impact.
• Online trust formation.
• Protecting online privacy.

Influencer Marketing and Consumer Behavior

• Influencers’ consumer impact.
• Psychological consumer responses.
• Authenticity in marketing.

Digital Well-being and Screen Time

• Screen time’s mental health effects.
• Promoting digital well-being.
• Screen time and physical health.
• Digital detox benefits.
• Reducing screen time strategies.

Online Learning and Educational Technology

• Social media in online learning.
• Collaboration online.

Mental Health and Social Support

• Social media’s mental health impact.
• Online mental health support.
• Peer support networks.
• Stigma reduction online.
• Ethical mental health promotion.

Cyberbullying and Online Harassment

Digital literacy and online safety.

• Online safety practices.
• Education for safe behavior.
• Cybersecurity risks.

Social Media Influencers and Consumer Behavior

Online relationships and social support.

• Online romantic relationships.
• Crisis support online.
• Trust and deception online.

Digital Well-being and Mental Health

Online gaming and virtual communities.

• Impact of social media ads.

Privacy Concerns and Online Behavior

These topics provide a concise overview of potential research areas in psychology related to social media.

List of 200+ Psychology Research Topics on Social Media  Pdf

Here is the list of the psychology research topic on social media pdf:

Challenges in Drawing Conclusions from Social Media Research

Social media research is like a treasure hunt, but there are obstacles. Here’s what researchers deal with:

Data issues

• People don’t always tell the truth.
• Social media users aren’t everyone.
• Online personas might not be real.

Platform problems

• We can get stuck in a bubble.
• Algorithms push certain stuff.
• It’s hard to know who’s genuine.

Ethics and privacy

• Getting permission can be tough.
• Keeping info safe is vital.

Finding cause and effect

• Just because two things happen together doesn’t mean one causes the other.
• Lots of stuff beyond social media affects behavior.
• Social media always changes.
• New things pop up all the time.

How to handle it

• Use different methods to understand.
• Be honest about what we know.
• Look for patterns, not definite answers.
• Long-term studies help track changes.

Despite challenges, researchers can unlock the secrets of social media’s impact on our lives.

Tips For Choosing A Psychology Research Topics On Social Media

Tips for Choosing a Social Media Psychology Research Topic:

• Follow Your Interests: Pick something about social media that interests you, like how it affects mental health or influences buying decisions.
• Find Research Gaps: Look for areas where we don’t know much yet, like how social media impacts certain groups or new trends.
• Narrow Your Focus: Instead of big topics, zoom in on specific questions, like how Instagram affects body image in teens.
• Be Practical: Consider what you can realistically study with your resources and time.
• Stay Ethical: Make sure your research follows the rules, especially about privacy and consent.

Research Ideas

• How social media stars influence teen behavior.
• Ways social media can boost or hurt self-esteem.
• The link between loneliness and social media use.
• How anonymity online affects bullying.
• Social media’s role in supporting people with illnesses.
• Exploring extreme views on social media.
• The effects of taking breaks from social media.
• New tech and its impact on social interactions.

Choose a topic that excites you and helps us understand more about social media and people.

What is the best topic for research on social media?

Finding the perfect social media research topic isn’t easy, but considering your interests and what’s trending can help. Here’s how:

What’s Trending

• Look at how social media algorithms affect what we see.
• Check out the rise of influencers and their impact.
• Explore how social media affects mental health beyond depression.

Society and Tech

• Study how social media influences social movements.
• Think about the future with VR/AR tech.

Who’s Left Out

• Check out different age groups, like kids or older adults.
• Focus on specific platforms, like TikTok or Twitch .
• How Instagram’s algorithms affect how teens see themselves.
• Can social media help older adults feel happier?
• Exploring bullying on gaming platforms with anonymous accounts.
• How online communities support people with disabilities.
• Does bias on social media affect how we see politics in underserved areas?
• Does your topic fill a gap in what we know?
• Can you actually do the research with what you have?
• And can you do it ethically, respecting people’s privacy?

Hope this helps you find the perfect topic for your social media research!

What are examples of possible research topics in psychology?

Psychology offers a lot of research options. Here are some simple examples:

Cognitive Psychology

• How meditation affects memory.
• Using repetition for better memory.
• Bilingualism’s impact on thinking.
• Artificial intelligence and decision-making.
• Creativity and brain activity.

Developmental Psychology

• Screen time’s effects on kids.
• Parenting styles and teen self-esteem.
• Teaching empathy to children.
• How thinking changes with age.
• Social media and teen body image.

Social Psychology

• Training to help in emergencies.
• How groups influence decisions.
• Social media spreading prejudice.
• What attracts people romantically.
• Loneliness and mental health.

Personality Psychology

• Personality and career choices.
• Nature versus nurture in personality.
• Personality tests and job performance.
• Leadership styles and personality.
• Culture and personality expression.

Clinical Psychology

• Mindfulness for anxiety.
• Therapy for teenage depression.
• Culture and mental health treatment.
• Online therapy for better access.
• New tests for diagnosing disorders.

Health Psychology

• Stress relief techniques.
• The power of social support.
• Following medical advice.
• Media’s impact on health.
• Mental and physical health link.

Keep it simple, and pick what interests you most!

How does social media relate to psychology?

Social media and psychology are closely connected:

Impact on Mental Health

• Seeing perfect lives can make us feel bad.
• Too much negativity online can worsen anxiety and depression.
• Always seeing others having fun can make us feel left out.

Social Interaction and Identity

• It helps us stay connected and find support.
• Expressing ourselves online boosts confidence.
• Anonymity online can lead to hurtful behavior.

Cognitive Processes and Attention

• Social media keeps us scrolling longer.
• We mainly see stuff that agrees with us.

Social Media’s Role

• It helps spread awareness and organize movements.
• False info spreads easily.
• New challenges will arise as platforms evolve.

Psychology Guides Design

• Understanding how we think helps make better platforms.
• Psychologists can advise on making social media more positive.

What is a sociological topic that is related to social media?

• The Digital Divide: Who has internet access and who doesn’t. It affects jobs and connections.
• Social Class: Rich and poor use social media differently. Rich use it for work, poor for fun.
• Socialization: Learning about society and connecting with others. But can also lead to cyberbullying.
• Social Movements: Using social media to organize protests and events.
• Misinformation: False info spreads fast online, like COVID-19 rumors.

These points show how social media impacts our lives and society.

To wrap things up, diving into psychology research about social media helps us understand how our online habits affect our daily lives. Whether it boosts our confidence or changes how we interact with others, studying these areas gives us useful insights for navigating the digital world.

And as technology keeps evolving, we’ll keep learning how social media impacts us, making our online experiences even better.

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Social Psychology Research Topics

Choosing topics for social psychology research papers or projects for class can be challenging. It is a broad and fascinating field, which can make it challenging to figure out what you want to investigate in your research.

Social psychology explores how individual thoughts, feelings, and behaviors are affected by social influences. It explores how each person's behavior is affected by their social environment.

This article explores a few different social psychology topics and research questions you might want to study in greater depth. It covers how to start your search for a topic as well as specific ideas you might choose to explore.

How to Find a Social Psychology Research Topic

As you begin your search, think about the questions that you have. What topics interest you? Following your own interests and curiosities can often inspire great research questions.

Choose a Sub-Topic

Social psychologists are interested in all aspects of social behavior. Some of the main areas of interest within the field include social cognition, social influence, and social relationships investigating subtopics such as conformity, groupthink, attitude formation, obedience, prejudice, and so on.

• Social cognition : How do we process and use information about social experiences? What kinds of biases influence how we engage with other people?
• Social influence: What are the key social factors that influence our attitudes and behavior? What are group dynamics and how do we understand patterns of behavior in groups?
• Social relationships : What are the different types of social relationships? How do they develop and change over time?

To help ensure that you select a topic that is specific enough, it can be helpful to start by confining your search to one of these main areas.

Browse Through Past Research

After narrowing down your choices, consider what questions you might have. Are there questions that haven't been fully answered by previous studies? At this point, it can be helpful to spend some time browsing through journal articles or books to see some examples of past findings and identify gaps in the literature.

You can also find inspiration and learn more about a topic by searching for keywords related to your topic in psychological databases such as PsycINFO or browsing through some professional psychology journals.

Narrow Down Your Specific Topic

Once you have a general topic, you'll need to narrow down your research. The goal is to choose a research question that is specific, measurable, and testable. Let's say you want to study conformity; An example of a good research question might be, “Are people more likely to conform when they are in a small group or a large group?” In this case, the specific topic of your paper would be how group size influences social conformity .

Review the Literature on Your Chosen Topic

After choosing a specific social psychology topic to research, the next step is to do a literature review. A literature review involves reading through the existing research findings related to a specific topic.

You are likely to encounter a great deal of information on your topic, which can seem overwhelming at times. You may find it helpful to start by reading review articles or meta-analysis studies. These are summaries of previous research on your topic or studies that incorporate a large pool of past research on the topic.

Talk to Your Instructor

Even if you are really excited to dive right in and start working on your project, there are some important preliminary steps you need to take.

Before you decide to tackle a project for your social psychology class, you should always clear your idea with your instructor. This initial step can save you a lot of time and hassle later on.

Your instructor can offer clear feedback on things you should and should not do while conducting your research and might be able to offer some helpful tips. Also, if you plan to implement your own social experiment, your school might require you to present to and gain permission from an institutional review board.

Thinking about the questions you have about social psychology can be a great way to discover topics for your own research. Once you have a general idea, explore the literature and refine your research question to make sure it is specific enough.

Examples of Social Psychology Research Topics

The following are some specific examples of different subjects you might want to investigate further as part of a social psychology research paper, experiment, or project:

Implicit Attitudes

How do implicit attitudes influence how people respond to others? This can involve exploring how people's attitudes towards different groups of people (e.g., men, women, ethnic minorities) influence their interactions with those groups. For example, one study found that 75% of people perceive men to be more intelligent than women .

In your own project, you might explore how implicit attitudes impact perceptions of qualities such as kindness, intelligence, leadership skills, or attractiveness.

Prosocial Behavior

You might also choose to focus on prosocial behavior in your research. This can involve investigating the reasons why people help others. Some questions you could explore further include:

• What motivates people to help others?
• When are people most likely to help others?
• How does helping others cause people to feel?
• What are the benefits of helping other people?

How do people change their attitudes in response to persuasion? What are the different techniques that can be used to persuade someone? What factors make some people more susceptible to persuasion than others?

One way to investigate this could be through collecting a wide variety of print advertisements and analyzing how​ persuasion is used. What types of cognitive and affective techniques are utilized? Do certain types of advertisements tend to use specific kinds of persuasive techniques ?

Another area of social psychology that you might research is aggression and violence. This can involve exploring the factors that lead to aggression and violence and the consequences of these behaviors. Some questions you might explore further include:

• When is violence most likely to occur?
• What factors influence violent behavior?
• Do traumatic experiences in childhood lead to more aggressive behavior in adulthood?
• Does viewing violent media content contribute to increased aggressive behavior in real life?

Prejudice and discrimination are areas that present a range of research opportunities. This can involve studying the different forms that prejudice takes (e.g., sexism, racism, ageism ), as well as the psychological effects of prejudice and discrimination. You might also want to investigate topics related to how prejudices form or strategies that can be used to reduce such discrimination.

Nonverbal Behavior

How do people respond when nonverbal communication does not match up to verbal behavior (for example, saying you feel great when your facial expressions and tone of voice indicate otherwise). Which signal do people respond to most strongly?

How good are people at detecting lies ? Have participants tell a group of people about themselves, but make sure some of the things are true while others are not. Ask members of the group which statements they thought were true and which they thought were false.

Social Norms

How do people react when social norms are violated? This might involve acting in a way that is outside the norm in a particular situation or enlisting friends to act out the behaviors while you observe.

Some examples that you might try include wearing unusual clothing, applauding inappropriately at the end of a class lecture, cutting in line in front of other people, or some other mildly inappropriate behavior. Keep track of your own thoughts as you perform the experiment and observe how people around you respond.

Online Social Behavior

Does online social networking make people more or less likely to interact with people in face-to-face or other offline settings? To investigate this further, you could create a questionnaire to assess how often people participate in social networking versus how much time they spend interacting with their friends in real-world settings.

Social Perception

How does our appearance impact how people respond to us? Ask some friends to help you by having two people dress up in dramatically different ways, one in a professional manner and one in a less conventional manner. Have each person engage in a particular action, then observe how they are treated and how other people's responses differ.

Social psychologists have found that attractiveness can produce what is known as a halo effect . Essentially, we tend to assume that people who are physically attractive are also friendly, intelligent, pleasant, and likable.

To investigate this topic, you could set up an experiment where you have participants look at photographs of people of varying degrees of physical attractiveness, and then ask them to rate each person based on a variety of traits, including social competence, kindness, intellect, and overall likability.

Think about how this might affect a variety of social situations, including how employees are selected or how jurors in a criminal case might respond.

Social psychology is a broad field, so there are many different subtopics you might choose to explore in your research. Implicit attitudes, prosocial behavior, aggression, prejudice, and social perception are just a few areas you might want to consider.

A Word From Verywell

Social psychology topics can provide a great deal of inspiration for further research, whether you are writing a research paper or conducting your own experiment. In addition to some of the social psychology topics above, you can also draw inspiration from your own curiosity about social behavior or examine social issues that you see taking place in the world around you. 

American Psychological Association.  Frequently asked questions about institutional review boards .

Storage D, Charlesworth TES, Banaji M, Cimpian A.  Adults and children implicitly associate brilliance with men more than women .  J Exp Soc Psychol . 2012;90:104020. doi:10.1016/j.jesp.2020.104020

Talamas SN, Mavor KI, Perrett DI. Blinded by beauty: Attractiveness bias and accurate perceptions of academic performance . PLoS ONE . 2016;11(2):e0148284. doi:10.1371/journal.pone.0148284

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

13 social media research topics to explore in 2024

Last updated

15 January 2024

Reviewed by

Miroslav Damyanov

Short on time? Get an AI generated summary of this article instead

To help you choose a specific area to examine, here are some of the top social media research topics that are relevant in 2024.

• What makes a strong social media research topic?

Consider the factors below to ensure your topic is strong and compelling:

Clarity: regardless of the topic you investigate, clarity is essential. It ensures readers will be able to understand your work and any wider learnings. Your argument should be clear and your language unambiguous.

Trend relevancy: you need to know what’s currently happening in social media to draw relevant conclusions. Before choosing a topic, consider current popular platforms, trending content, and current use cases to ensure you understand social media as it is today.

New insights: if your research is to be new, innovative, and helpful for the wider population, it should cover areas that haven’t been studied before. Look into what’s already been thoroughly researched to help you uncover knowledge gaps that could be good focus areas.

• Tips for choosing social media research topics

When considering social media research questions, it’s also important to consider whether you’re the right person to conduct that area of study. Your skills, interests, and time allocated will all impact your suitability.

Consider your skillset: your specific expertise is highly valuable when conducting research. Choosing a topic that aligns with your skills will help ensure you can add a thorough analysis and your own learnings.

Align with your interests: if you’re deeply interested in a topic, you’re much more likely to enjoy the process and dedicate the time it needs for a thorough analysis.

Consider your resources: the time you have available to complete the research, your allocated funds, and access to resources should all impact the research topic you choose.

• 13 social media research paper topics

To help you choose the right area of research, we’ve rounded up some of the most compelling topics within the sector. These ideas may also help you come up with your own.

1. The influence of social media on mental health

It’s well-documented that social media can impact mental health. For example, a significant amount of research has highlighted the link between social media and conditions like anxiety, depression, and stress—but there’s still more to uncover in this area.

There are high rates of mental illness worldwide, so there’s continual interest in ways to understand and mitigate it. Studies could focus on the following areas:

The reasons why social media can impact mental health

How social media can impact specific mental health conditions (you might also look at different age groups here)

How to reduce social media’s impact on mental health

2. The effects of social media exposure on child development

There are many unknowns with social media. More research is needed to understand how it impacts children. As such, this is a very valuable research area.

You might explore the following topics:

How social media impacts children at different ages

The long-term effects of childhood social media use

The benefits of social media use in children

How social media use impacts childhood socialization, communication, and learning

3. The role of social media in political campaigning

Social media’s role in political campaigning is nothing new. The Cambridge Analytica Scandal, for example, involved data from millions of Facebook profiles being sold to a third party for political advertising. Many believe this could have impacted the 2016 US election results. Ultimately, Facebook had to pay a private class-action lawsuit of $725 million.

The role of social media in political campaigns is of global significance. Concerns are still high that social media can play a negative role in elections due to the spread of misinformation, disinformation, and the bandwagon effect.

Research in this area could look into the following topics:

How people are influenced by social media when it comes to voting

Ways to mitigate misinformation

Election interference and how this can be prevented

4. The role of social media in misinformation and disinformation

Misinformation and disinformation mean slightly different things. Misinformation is unintentionally sharing false or inaccurate information, while disinformation is sharing false information with the deliberate intent to mislead people.

Both can play a role not just in elections but throughout social media. This became particularly problematic during the COVID-19 pandemic.

Research into this area is important given the widespread risk that comes with spreading false information about health and safety-related topics.

Here are some potential research areas:

How misinformation and disinformation are spread via social media

The impact of false information (you could focus on how it impacts health, for example)

Strategies for mitigating the impact of false information and encouraging critical thinking

The avenues through which to hold technology companies accountable for spreading misinformation

5. The impact of AI and deepfakes on social media 

AI technology is expected to continue expanding in 2024. Some are concerned that this could impact social media. One concern is the potential for the widespread use of deepfake technology—a form of AI that uses deep learning to create fake images.

Fake images can be used to discredit, shame, and control others, so researchers need to deeply understand this area of technology. You might look into the following areas:

The potential impacts of deepfakes on businesses and their reputations

Deepfake identities on social media: privacy concerns and other risks

How deepfake images can be identified, controlled, and prevented

6. How social media can benefit communities

While there’s much research into the potential negative impacts of social media, it can also provide many benefits.

Social media can establish connections for those who might otherwise be isolated in the community. It can facilitate in-person gatherings and connect people who are physically separated, such as relatives who live in different countries. Social media can also provide critical information to communities quickly in the case of emergencies.

Research into the ways social media can provide these key benefits can make interesting topics. You could consider the following:

Which social media platforms offer the most benefits

How to better use social media to lean into these benefits

How new social platforms could connect us in more helpful ways

7. The psychology of social media

Social media psychology explores human behavior in relation to social media. There are a range of topics within social media psychology, including the following: 

The influence of social media on social comparison

Addiction and psychological dependence on social media

How social media increases the risk of cyberbullying

How social media use impacts people’s attention spans

Social interactions and the impact on socialization

Persuasion and influence on social media

8. How communication has evolved through social media

Social media has provided endless ways for humans to connect and interact, so the ways we do this have evolved.

Most obviously, social media has provided ways to connect instantaneously via real-time messaging and communicate using multimedia formats, including text, images, emojis, video content, and audio.

This has made communication more accessible and seamless, especially given many people now own smartphones that can connect to social media apps from anywhere.

You might consider researching the following topics:

How social media has changed the way people communicate

The impacts of being continuously connected, both positive and negative

How communication may evolve in the future due to social media

9. Social media platforms as primary news sources

As social media use has become more widespread, many are accessing news information primarily from their newsfeeds. This can be particularly problematic, given that newsfeeds are personalized providing content to people based on their data.

This can cause people to live in echo chambers, where they are constantly targeted with content that aligns with their beliefs. This can cause people to become more entrenched in their way of thinking and more unable or unwilling to see other people’s opinions and points of view.

Research in this area could consider the following:

The challenges that arise from using social media platforms as a primary news source

The pros and cons of social media: does it encourage “soloization” or diverse perspectives?

How to prevent social media echo chambers from occurring

The impact of social media echo chambers on journalistic integrity

10. How social media is impacting modern journalism

News platforms typically rely on an advertising model where more clicks and views increase revenue. Since sensationalist stories can attract more clicks and shares on social media, modern journalism is evolving.

Journalists are often rewarded for writing clickbait headlines and content that’s more emotionally triggering (and therefore shareable).

Your research could cover the following areas:

How journalism is evolving due to social media

How to mitigate social media’s impact on neutral reporting

The importance of journalistic standards in the age of social media

11. The impact of social media on traditional advertising

Digital advertising is growing in popularity. Worldwide, ad spending on social media was expected to reach $207.1 billion in 2023 . Experts estimate that ad spending on mobile alone will reach $255.8 billion by 2028 . This move continues to impact traditional advertising, which takes place via channels like print, TV, and radio.

Most organizations consider their social strategy a critical aspect of their advertising program. Many exclusively advertise on social media—especially those with limited budgets.

Here are some interesting research topics in this area

The impact of different advertising methods

Which social media advertising channels provide the highest return on investment (ROI)

The societal impacts of social media advertising

12. Impacts of social media presence on corporate image

Social media presence can provide companies with an opportunity to be visible and increase brand awareness . Social media also provides a key way to interact with customers.

More and more customers now expect businesses to be online. Research shows that 63% of customers expect companies to offer customer service via their social media channels, while a whopping 90% have connected with a brand or business through social media.

Research in this area could focus on the following topics:

The advantages and disadvantages of social media marketing for businesses

How social media can impact a business’s corporate image

How social media can boost customer experience and loyalty

13. How social media impacts data privacy

Using social media platforms is free for the most part, but users have to provide their personal data for the privilege. This means data collection , tracking, the potential for third parties to access that data, psychological profiling, geolocation, and tracking are all potential risks for users.

Data security and privacy are of increasing interest globally. Research within this area will likely be in high demand in 2024.

Here are some of the research topics you might want to consider in this area:

Common privacy concerns with social media use

Why is social media privacy important?

What can individuals do to protect their data when using social media?

• The importance of social media research

As social media use continues to expand in the US and around the world, there’s continual interest in research on the topic. The research you conduct could positively impact many groups of people.

Topics can cover a broad range of areas. You might look at how social media can harm or benefit people, how social media can impact journalism, how platforms can impact young people, or the data privacy risks involved with social media use. The options are endless, and new research topics will present themselves as technology evolves.

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234 Social Media Research Topics & Ideas

• Icon Calendar 18 May 2024
• Icon Page 2646 words
• Icon Clock 12 min read

Social media research encompasses a broad range of different topics that delve into the ever-evolving digital landscape. People investigate the impact of social platforms on society, exploring subjects, such as online identity formation, self-presentation, the psychology of virtual interactions, and others. Additionally, studies examine the influence of social media on politics, activism, and public opinion, uncovering patterns of information dissemination and polarization. Privacy concerns, cyberbullying, and online safety are also explored in-depth, seeking strategies to mitigate the associated risks. In this article, people can find many social media research topics, ideas, and examples.

Hot Social Media Research Topics

• Impacts of Social Media and Internet Algorithms on User Experience
• The Rise of TikTok: A Socio-Cultural Analysis
• Dealing With Cyberbullying: Strategies and Solutions
• Understanding the Phenomenon of Social Media ‘Cancel Culture’
• NFTs and Social Media: The Future of Digital Art?
• Ethical Concerns in the Era of Influencer Marketing
• Social Media’s Role in Accelerating E-Commerce Growth
• Impacts of Internet and Social Media on Journalism and News Reporting
• Understanding the Psychology of Viral Challenges on Social Platforms
• Cryptocurrency and Social Media: The Intersection
• Mitigating Misinformation and ‘Fake News’ on Social Media
• Augmented Reality (AR) in Social Media: A Game Changer?
• Evaluating the Impact of Social Media on Political Campaigns
• Social Media’s Influence on Fashion and Beauty Trends
• Privacy, Safety, and Security Concerns in the Age of Social Networking
• Roles of Free Access and Social Media in Promoting Sustainable Practices
• Implications of Social Media Addiction on Mental Health
• Examining Social Media’s Role in Crisis Communication
• The Power of User-Generated Content in Branding
• Influence of Social Media on Food Culture and Dining Trends

Easy Social Media Research Topics

• Impacts of Online Videos and Social Media on Mental Health
• Influencer Marketing: Efficacy and Ethical Concerns
• Evolution of Privacy Policies Across Social Platforms
• Understanding Virality: What Makes Content Shareable?
• Cyberbullying: Prevalence and Prevention Strategies
• Social Media and Political Polarization: An In-Depth Study
• Role of Social Media in Modern Business Strategies
• Effect of Social Media on Interpersonal Relationships
• Social Platforms as Tools for Social Change
• Navigating Online Hate Speech: A Legal Perspective
• Emerging Trends in Social Media Advertising
• Online Identity Construction and Self-Presentation
• The Psychology of Social Media Addiction
• Social Media’s Role in Crisis Management and Communication
• Sentiment Analysis in Social Media and Its Implications
• Social Media Algorithms: Bias and Implications
• The Phenomenon of Cancel Culture on Social Platforms
• Cybersecurity Threats in the Era of Social Media
• Analyzing Adverse Impacts of Social Media on Consumer Behavior

Interesting Social Media Research Topics

• Evaluating the Effects of Social Media on Language and Communication
• Roles of Social Media in Fostering Political Engagement
• Misinformation and Propaganda Spread Through Social Platforms
• Analyzing the Shift From Traditional Media to Social Media
• Dark Patterns in Social Media: Hidden Manipulative Tactics
• Social Media and Digital Activism: Revolutionizing Advocacy
• Augmented Reality (AR) and Its Impact on Social Networking
• Exploring Cybersecurity Issues in Social Media Platforms
• Roles and Effects of Social Media and News in Mental Health Promotion
• Strategies for Effective Social Media Crisis Management
• The Power of Live Streaming for Brands and Influencers
• Using Social Media to Enhance Classroom Learning
• Analyzing the Influence of Memes on Internet Culture
• Impacts of Social Media Algorithms on User Behavior
• Assessing the Correlation Between Social Media and Loneliness
• Geotagging and Its Implications for Personal Privacy
• Social Media and E-commerce: A Cross-Industry Study
• The Ethics of Digital Advertising on Social Platforms
• Understanding the Psychology of Social Media Trolls
• The Cultural Shift Caused by Social Media Localization

Social Media Research Paper Topics for High School

• The Phenomenon of Cyberbullying: Prevention and Strategies
• How Does Social Media Influence Teen Body Image?
• Evaluating the Educational Potential of Social Media Platforms
• Impacts of Social Media on Adolescents’ Self-Esteem
• Roles of Free Connection and Social Media in Modern Political Activism
• Exploring the Concept of ‘Digital Citizenship’ Among Teenagers
• The Ethics of Social Media Privacy: User Rights and Responsibilities
• Social Media Addiction: Understanding Its Causes and Effects
• Influence of Social Media on Modern Communication Styles
• Analyzing Positive Roles of Social Media in Promoting Reading Culture
• Social Media and Mental Health: Correlation or Causation?
• The Role of Social Media in Global Environmental Awareness
• Examining Social Media’s Impact on Real-Life Social Skills
• Social Media Platforms: Tools for Personal Branding or Narcissism?
• Influence of Social Media Trends on Youth Fashion Choices
• Impacts of Social Media on Teenagers’ Sleep Patterns
• Online Safety: The Role of Parents and Schools in Social Media Usage
• How Does Social Media Influence Teenagers’ Views on Relationships?
• Social Media and Empathy: Does Online Interaction Decrease Compassion?

Social Media Research Paper Topics for College Students

• Evaluating the Impact of Social Media on Body Image and Self-Esteem
• The Influence of Social Media on Voting Patterns Among Young Adults
• Social Media as a Valid Tool for Social Change: A Case Study Approach
• Unveiling the Psychology of Social Media Addiction
• Social Media’s Role in Modern Journalism: Opportunities and Challenges
• Privacy Implications of Data Collection on Social Media Platforms
• Cyberbullying in the Age of Social Media: Scope and Solutions
• The Ethical Aspects of Social Media Influencer Marketing
• Roles and Effects of Social Media in Crisis Communication and Management
• Social Media and Its Effects on Interpersonal Communication Skills
• Analyzing Social Media Strategies of Successful Businesses
• Impacts of Internet Use and Social Media on Mental Health Among College Students
• The Roles That Social Media Has in Modern Political Campaigns
• Understanding the Social Media Algorithm: Bias and Implications
• Social Media and Consumer Behavior: The Power of Influencer Marketing
• Fake News, Authors, and Disinformation Spread Through Social Media Platforms
• Exploring Direct Links Between Social Media Use and Academic Performance
• Social Media’s Role in Promoting Sustainable Lifestyle Choices
• Regulation of Hate Speech and Offensive Content on Social Media
• The Power and Peril of Virality in the Age of Social Media

Social Media Research Paper Topics for University

• The Effect That Social Media Has on Global Politics
• The Ethics of Data Mining in Social Media
• Roles of Social Media in Business Marketing Strategies
• Social Media, Internet Use, and Their Impacts on Mental Health: A Systematic Review
• Algorithmic Bias in Social Media Platforms: Causes and Consequences
• The Influence of Colors and Social Media on Consumer Behavior
• Exploring Possible Relationships Between Social Media Use and Academic Performance
• Privacy, Morality, and Security Concerns in the Age of Social Media
• Social Media as a Platform for Digital Activism
• Impacts of Social Media on Interpersonal Communication and Relationships
• Cyberbullying on Social Media: Scope, Impact, and Preventive Measures
• The Role of Social Media in Spreading Health-Related Misinformation
• Analyzing the Effect of Social Media on Journalism Practices
• Understanding the Influence of Social Media on Body Image Perceptions
• Social Media’s Role in Crisis Management: Case Studies
• The Power and Effectiveness of Influencer Marketing on Social Media
• Fake News and Disinformation in the Social Media Age
• Regulatory Approaches to Hate Speech on Social Media Platforms
• The Economic Implications of Social Media: From Startups to Giants

Social Media Research Paper Topics for Masters

• Advanced Algorithms and Their Role in Shaping Social Media Interactions
• Evaluating the Impact of Social Media on Democratic Processes Globally
• The Intersection of Privacy, Data Mining, and Ethics in Social Media
• Quantitative Analysis of Social Media’s Impact on Consumer Buying Behavior
• Cybersecurity Threats in Social Media: Mitigation and Prevention Strategies
• Analyzing the Psychological Implications of Social Media Addiction
• Using Social Media Data to Predict Market Trends: An Econometric Approach
• Role of Social Media in Crisis Management: A Comparative Study
• The Sociolinguistic Impact of Social Media on Communication
• Machine Learning and AI in Social Media: An Examination of Emerging Trends
• Social Media as a Valid Tool for Public Health: Opportunities and Challenges
• Social Media’s Influence on Modern Journalism: A Critical Analysis
• Mapping Social Networks: A Graph Theory Approach
• Evaluating the Efficacy of Social Media Campaigns in Social Change Movements
• Analyzing the Role of Social Media in Corporate Reputation Management
• Data Privacy Laws and Social Media: A Comparative Study
• The Use of Small and Big Data Analytics in Social Media Marketing
• Social Media and Its Role in Strengthening Democracy: A Deep Dive
• The Impact of Social Media on Cultural Assimilation and Identity
• Ethics of Artificial Intelligence in Social Media Content Moderation

Social Media Research Paper Topics for Ph.D.

• Analyzing the Impact of Social Media Algorithms on User Behavior and Perceptions
• Deciphering the Influence of Social Media on Political Campaign Strategies
• Examining the Role of Social Media in Corporate Social Responsibility Initiatives
• Social Media and Mental Health: A Comprehensive Analysis of Recent Studies
• Effects of Social Media and Internet Use on Consumer Buying Behavior: An Econometric Approach
• Social Media and Digital Diplomacy: A Critical Analysis
• Ethical Implications of Data Mining Techniques in Social Media Platforms
• Unpacking the Psychological Mechanisms of Social Media Addiction
• Role of Social Media in Contemporary Journalism: Opportunities and Challenges
• Social Media and Privacy: A Comparative Study of Data Protection Laws
• Machine Learning and AI in Social Media: Identifying Future Trends
• Social Media’s Possible Influence on People, Body Image, and Self-Esteem: A Meta-Analysis
• Analyzing the Role of Social Media in Crisis Management and Communication
• Impacts of Social Media on Different Language and Communication Styles
• Cybersecurity in Social Media: An Analysis of Current Threats and Mitigation Strategies
• Social Media as a Good Tool for Health Promotion and Disease Prevention
• Effects of Social Media on Children and Their Parents: Social Skills and Interpersonal Relationships
• Roles of Social Media in Promoting Gender Equality and Women’s Rights
• Social Media and its Influence on Cultural Assimilation and Identity Formation

Social Media Research Topics for Argumentative Papers

• Impacts of Social Media on Social and Political Discourses: Enhancing or Hindering Democratic Engagement?
• Social Media and Mental Health: Exploring the Association Between Excessive Usage and Psychological Well-Being
• Fostering Online Activism and Social Movements: The Role of Social Media
• Balancing Personal Information Sharing and Data Protection: Social Media and Privacy
• Exploring the Effects of Social Media on Body Image and Self-Esteem
• Social Media and Political Polarization: Reinforcing Echo Chambers or Encouraging Diverse Perspectives?
• Youth Culture and Identity Formation: The Influence of Social Media
• Fake News and Misinformation: Combating Inaccurate Information in the Era of Social Media
• Social Media and Cyberbullying: Examining the Impact on Mental Health and Well-Being
• The Ethics of Social Media Research: Privacy, Informed Consent, and Ethical Considerations
• Relationships in the Digital Age: Exploring the Influence of Social Media Use
• The Influence of Internet, Technology, and Social Media on Consumer Behavior and Buying Decisions
• Analyzing the Role of Online Platforms in Elections: Social Media and Political Campaigns
• Social Media in Education: Exploring the Benefits and Challenges of Integration in the Classroom
• Impacts of Social Media and Interface on News Consumption and Journalism Practices
• Body Politics in the Digital Space: Examining Representations of Gender, Race, and Body Image on Social Media
• Addressing Ethical and Security Concerns in the Digital Age: Social Media and Cybersecurity
• Shaping Consumer Behavior and Brand Perception: The Role of Social Media Influencers
• Civic Engagement in the Digital Era: Assessing the Role of Social Media Platforms
• The Influence of Social Media Algorithms on Information Consumption and Personalization

Social Media Research Topics for Persuasive Papers

• The Power of Social Media in Driving Social and Political Change
• Promoting Digital Literacy: Empowering Users to Navigate the Complexities of Social Media
• Social Media as a Catalyst for Social Justice Movements: Amplifying Marginalized Voices
• Countering Fake News and Misinformation on Social Media: Strategies for Critical Thinking
• Harnessing the Influence of Social Media for Environmental Activism and Sustainability
• The Dark Side of Social Media: Addressing Online Harassment and Cyberbullying
• Influencer Marketing: Ethical Considerations and Consumer Protection in the Digital Age
• Leveraging Social Media for Public Health Campaigns: Increasing Awareness and Behavioral Change
• Social Media and Mental Health: Promoting Well-Being in a Hyperconnected World
• Navigating the Privacy Paradox: Balancing Convenience and Personal Data Protection on Social Media
• Roles of Social Media and Internet in Fostering Civic Engagement and Democratic Participation
• Promoting Positive Body Image on Social Media: Redefining Beauty Standards and Empowering Individuals
• Enhancing Online Safety: Developing Policies and Regulations for Social Media Platforms
• Social Media and the Spread of Disinformation: Combating the Infodemic
• Roles of Social Media and Technology in Building and Sustaining Relationships: Connecting in a Digital Era
• Influencer Culture and Materialism: Examining the Impact on Consumer Behavior
• Social Media and Education: Maximizing Learning Opportunities and Bridging the Digital Divide
• The Power of Viral Hashtags: Exploring Social Movements and Online Activism
• Social Media and Political Polarization: Bridging Divides and Encouraging Constructive Dialogue

Social Media Topics for Pros and Cons Research Papers

• Examining the Social Effects of Digital Connectivity: Pros and Cons of Using Social Media
• Balancing Privacy Concerns in the Digital Age: Evaluating the Cons and Risks of Social Media Use
• Information Sharing in the Digital Era: Uncovering the Advantages of Social Media Platforms
• Building Online Communities: Analyzing the Strengths and Weaknesses of Social Media Interaction
• Navigating Political Discourse in the Digital Age: The Disadvantages of Social Media Engagement
• Mental Health in the Digital Sphere: Understanding the Benefits and Drawbacks of Social Media
• Combating Cyberbullying: Addressing the Negative Side of Online Social Interactions
• Personal Branding in the Digital Landscape: Empowerment vs. Self-Objectification on Social Media
• Establishing Meaningful Connections: Exploring the Pros and Cons of Social Media Relationships
• Leveraging the Educational Potential of Digital Platforms: Examining the Benefits of Social Media in Learning
• Body Image and Self-Esteem in the Age of Social Media: Weighing the Positives and Negatives
• From Digital Activism to Political Change: Assessing the Opportunities and Limitations of Social Media
• Unraveling the Influence: Social Media and Consumer Behavior in the Digital Marketplace
• Misinformation in the Digital Landscape: The Pros and Cons of Social Media in the Spread of Disinformation
• Crisis Communication in the Digital Age: Navigating the Benefits and Challenges of Social Media
• Tackling Fake News: Navigating Misinformation in the Era of Social Media
• Maximizing Business Opportunities: Evaluating the Advantages and Disadvantages of Social Media Marketing
• The Psychology of Social Media: Analyzing the Upsides and Downsides of Digital Engagement
• Exploring the Impact of Social Media on Socialization: Benefits, Drawbacks, and Implications
• Online Activism: The Power and Limitations of Social Media Movements

Social Media Topics for Cause and Effect Research Papers

• Enhancing Political Activism: Exploring the Relationship Between Social Media and Civic Engagement
• The Psychological Effects of Digital Connectivity: Investigating the Relationship Between Mental Health of People and Social Media Use
• Political Polarization in the Online Sphere: Understanding the Impact of Digital Networks
• Disrupted Sleep Patterns in the Digital Era: Exploring the Role of Online Platforms
• Digital Distractions and Academic Performance: Analyzing the Effects of Online Engagement
• Navigating Online Relationships: Understanding the Impacts of Digital Interactions
• The Digital Marketplace: Exploring Consumer Behavior in the Age of Online Platforms
• The Loneliness Epidemic: Investigating the Relationship Between Social Media Use and Social Isolation
• Redefining Political Participation: The Influence of Digital Networks on Democracy
• Unmasking Digital Identities: The Psychological Effects of Social Media Use
• News Consumption in the Digital Era: Exploring the Impacts of Online Platforms
• Cyberbullying in the Virtual World: Analyzing the Effects of Online Interactions
• The Digital Campaign Trail: Investigating the Influence of Online Platforms on Voter Behavior
• Fear of Missing Out (FOMO) in the Digital Age: Exploring the Psychological Consequences
• Body Dissatisfaction in the Digital Sphere: Understanding the Impacts of Online Presence
• Information Overload: Coping With the Digital Deluge in the Information Age
• Privacy Concerns in the Online Landscape: Analyzing the Implications of Digital Footprints
• Unveiling the Dark Side: Exploring the Relationship Between Online Activities and Substance Abuse
• Bridging the Political Divide: The Impact of Digital Networks on Sociopolitical Polarization

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Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice

John a. naslund.

a Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA

Ameya Bondre

b CareNX Innovations, Mumbai, India

John Torous

c Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA

Kelly A. Aschbrenner

d Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH

Social media platforms are popular venues for sharing personal experiences, seeking information, and offering peer-to-peer support among individuals living with mental illness. With significant shortfalls in the availability, quality, and reach of evidence-based mental health services across the United States and globally, social media platforms may afford new opportunities to bridge this gap. However, caution is warranted, as numerous studies highlight risks of social media use for mental health. In this commentary, we consider the role of social media as a potentially viable intervention platform for offering support to persons with mental disorders, promoting engagement and retention in care, and enhancing existing mental health services. Specifically, we summarize current research on the use of social media among mental health service users, and early efforts using social media for the delivery of evidence-based programs. We also review the risks, potential harms, and necessary safety precautions with using social media for mental health. To conclude, we explore opportunities using data science and machine learning, for example by leveraging social media for detecting mental disorders and developing predictive models aimed at characterizing the aetiology and progression of mental disorders. These various efforts using social media, as summarized in this commentary, hold promise for improving the lives of individuals living with mental disorders.

Introduction

Social media has become a prominent fixture in the lives of many individuals facing the challenges of mental illness. Social media refers broadly to web and mobile platforms that allow individuals to connect with others within a virtual network (such as Facebook, Twitter, Instagram, Snapchat, or LinkedIn), where they can share, co-create, or exchange various forms of digital content, including information, messages, photos, or videos ( Ahmed, Ahmad, Ahmad, & Zakaria, 2019 ). Studies have reported that individuals living with a range of mental disorders, including depression, psychotic disorders, or other severe mental illnesses, use social media platforms at comparable rates as the general population, with use ranging from about 70% among middle-age and older individuals, to upwards of 97% among younger individuals ( Aschbrenner, Naslund, Grinley, et al., 2018 ; M. L. Birnbaum, Rizvi, Correll, Kane, & Confino, 2017 ; Brunette et al., 2019 ; Naslund, Aschbrenner, & Bartels, 2016 ). Other exploratory studies have found that many of these individuals with mental illness appear to turn to social media to share their personal experiences, seek information about their mental health and treatment options, and give and receive support from others facing similar mental health challenges ( Bucci, Schwannauer, & Berry, 2019 ; Naslund, Aschbrenner, Marsch, & Bartels, 2016b ).

Across the United States and globally, very few people living with mental illness have access to adequate mental health services ( Patel et al., 2018 ). The wide reach and near ubiquitous use of social media platforms may afford novel opportunities to address these shortfalls in existing mental health care, by enhancing the quality, availability, and reach of services. Recent studies have explored patterns of social media use, impact of social media use on mental health and wellbeing, and the potential to leverage the popularity and interactive features of social media to enhance the delivery of interventions. However, there remains uncertainty regarding the risks and potential harms of social media for mental health ( Orben & Przybylski, 2019 ), and how best to weigh these concerns against potential benefits.

In this commentary, we summarized current research on the use of social media among individuals with mental illness, with consideration of the impact of social media on mental wellbeing, as well as early efforts using social media for delivery of evidence-based programs for addressing mental health problems. We searched for recent peer reviewed publications in Medline and Google Scholar using the search terms “mental health” or “mental illness” and “social media”, and searched the reference lists of recent reviews and other relevant studies. We reviewed the risks, potential harms, and necessary safety precautions with using social media for mental health. Overall, our goal was to consider the role of social media as a potentially viable intervention platform for offering support to persons with mental disorders, promoting engagement and retention in care, and enhancing existing mental health services, while balancing the need for safety. Given this broad objective, we did not perform a systematic search of the literature and we did not apply specific inclusion criteria based on study design or type of mental disorder.

Social Media Use and Mental Health

In 2020, there are an estimated 3.8 billion social media users worldwide, representing half the global population ( We Are Social, 2020 ). Recent studies have shown that individuals with mental disorders are increasingly gaining access to and using mobile devices, such as smartphones ( Firth et al., 2015 ; Glick, Druss, Pina, Lally, & Conde, 2016 ; Torous, Chan, et al., 2014 ; Torous, Friedman, & Keshavan, 2014 ). Similarly, there is mounting evidence showing high rates of social media use among individuals with mental disorders, including studies looking at engagement with these popular platforms across diverse settings and disorder types. Initial studies from 2015 found that nearly half of a sample of psychiatric patients were social media users, with greater use among younger individuals ( Trefflich, Kalckreuth, Mergl, & Rummel-Kluge, 2015 ), while 47% of inpatients and outpatients with schizophrenia reported using social media, of which 79% reported at least once-a-week usage of social media websites ( Miller, Stewart, Schrimsher, Peeples, & Buckley, 2015 ). Rates of social media use among psychiatric populations have increased in recent years, as reflected in a study with data from 2017 showing comparable rates of social media use (approximately 70%) among individuals with serious mental illness in treatment as compared to low-income groups from the general population ( Brunette et al., 2019 ).

Similarly, among individuals with serious mental illness receiving community-based mental health services, a recent study found equivalent rates of social media use as the general population, even exceeding 70% of participants ( Naslund, Aschbrenner, & Bartels, 2016 ). Comparable findings were demonstrated among middle-age and older individuals with mental illness accessing services at peer support agencies, where 72% of respondents reported using social media ( Aschbrenner, Naslund, Grinley, et al., 2018 ). Similar results, with 68% of those with first episode psychosis using social media daily were reported in another study ( Abdel-Baki, Lal, D.-Charron, Stip, & Kara, 2017 ).

Individuals who self-identified as having a schizophrenia spectrum disorder responded to a survey shared through the National Alliance of Mental Illness (NAMI), and reported that visiting social media sites was one of their most common activities when using digital devices, taking up roughly 2 hours each day ( Gay, Torous, Joseph, Pandya, & Duckworth, 2016 ). For adolescents and young adults ages 12 to 21 with psychotic disorders and mood disorders, over 97% reported using social media, with average use exceeding 2.5 hours per day ( M. L. Birnbaum et al., 2017 ). Similarly, in a sample of adolescents ages 13-18 recruited from community mental health centers, 98% reported using social media, with YouTube as the most popular platform, followed by Instagram and Snapchat ( Aschbrenner et al., 2019 ).

Research has also explored the motivations for using social media as well as the perceived benefits of interacting on these platforms among individuals with mental illness. In the sections that follow (see Table 1 for a summary), we consider three potentially unique features of interacting and connecting with others on social media that may offer benefits for individuals living with mental illness. These include: 1) Facilitate social interaction; 2) Access to a peer support network; and 3) Promote engagement and retention in services.

Summary of potential benefits and challenges with social media for mental health

Facilitate Social Interaction

Social media platforms offer near continuous opportunities to connect and interact with others, regardless of time of day or geographic location. This on demand ease of communication may be especially important for facilitating social interaction among individuals with mental disorders experiencing difficulties interacting in face-to-face settings. For example, impaired social functioning is a common deficit in schizophrenia spectrum disorders, and social media may facilitate communication and interacting with others for these individuals ( Torous & Keshavan, 2016 ). This was suggested in one study where participants with schizophrenia indicated that social media helped them to interact and socialize more easily ( Miller et al., 2015 ). Like other online communication, the ability to connect with others anonymously may be an important feature of social media, especially for individuals living with highly stigmatizing health conditions ( Berger, Wagner, & Baker, 2005 ), such as serious mental disorders ( Highton-Williamson, Priebe, & Giacco, 2015 ).

Studies have found that individuals with serious mental disorders ( Spinzy, Nitzan, Becker, Bloch, & Fennig, 2012 ) as well as young adults with mental illness ( Gowen, Deschaine, Gruttadara, & Markey, 2012 ) appear to form online relationships and connect with others on social media as often as social media users from the general population. This is an important observation because individuals living with serious mental disorders typically have few social contacts in the offline world, and also experience high rates of loneliness ( Badcock et al., 2015 ; Giacco, Palumbo, Strappelli, Catapano, & Priebe, 2016 ). Among individuals receiving publicly funded mental health services who use social media, nearly half (47%) reported using these platforms at least weekly to feel less alone ( Brusilovskiy, Townley, Snethen, & Salzer, 2016 ). In another study of young adults with serious mental illness, most indicated that they used social media to help feel less isolated ( Gowen et al., 2012 ). Interestingly, more frequent use of social media among a sample of individuals with serious mental illness was associated with greater community participation, measured as participation in shopping, work, religious activities or visiting friends and family, as well as greater civic engagement, reflected as voting in local elections ( Brusilovskiy et al., 2016 ).

Emerging research also shows that young people with moderate to severe depressive symptoms appear to prefer communicating on social media rather than in-person ( Rideout & Fox, 2018 ), while other studies have found that some individuals may prefer to seek help for mental health concerns online rather than through in-person encounters ( Batterham & Calear, 2017 ). In a qualitative study, participants with schizophrenia described greater anonymity, the ability to discover that other people have experienced similar health challenges, and reducing fears through greater access to information as important motivations for using the Internet to seek mental health information ( Schrank, Sibitz, Unger, & Amering, 2010 ). Because social media does not require the immediate responses necessary in face-to-face communication, it may overcome deficits with social interaction due to psychotic symptoms that typically adversely affect face-to-face conversations ( Docherty et al., 1996 ). Online social interactions may not require the use of non-verbal cues, particularly in the initial stages of interaction ( Kiesler, Siegel, & McGuire, 1984 ), with interactions being more fluid, and within the control of users, thereby overcoming possible social anxieties linked to in-person interaction ( Indian & Grieve, 2014 ). Furthermore, many individuals with serious mental disorders can experience symptoms including passive social withdrawal, blunted affect and attentional impairment, as well as active social avoidance due to hallucinations or other concerns ( Hansen, Torgalsbøen, Melle, & Bell, 2009 ); thus, potentially reinforcing the relative advantage, as perceived by users, of using social media over in person conversations.

Access to a Peer Support Network

There is growing recognition about the role that social media channels could play in enabling peer support ( Bucci et al., 2019 ; Naslund, Aschbrenner, et al., 2016b ), referred to as a system of mutual giving and receiving where individuals who have endured the difficulties of mental illness can offer hope, friendship, and support to others facing similar challenges ( Davidson, Chinman, Sells, & Rowe, 2006 ; Mead, Hilton, & Curtis, 2001 ). Initial studies exploring use of online self-help forums among individuals with serious mental illnesses have found that individuals with schizophrenia appeared to use these forums for self-disclosure, and sharing personal experiences, in addition to providing or requesting information, describing symptoms, or discussing medication ( Haker, Lauber, & Rössler, 2005 ), while users with bipolar disorder reported using these forums to ask for help from others about their illness ( Vayreda & Antaki, 2009 ). More recently, in a review of online social networking in people with psychosis, Highton-Williamson et al (2015) highlight that an important purpose of such online connections was to establish new friendships, pursue romantic relationships, maintain existing relationships or reconnect with people, and seek online peer support from others with lived experience ( Highton-Williamson et al., 2015 ).

Online peer support among individuals with mental illness has been further elaborated in various studies. In a content analysis of comments posted to YouTube by individuals who self-identified as having a serious mental illness, there appeared to be opportunities to feel less alone, provide hope, find support and learn through mutual reciprocity, and share coping strategies for day-to-day challenges of living with a mental illness ( Naslund, Grande, Aschbrenner, & Elwyn, 2014 ). In another study, Chang (2009) delineated various communication patterns in an online psychosis peer-support group ( Chang, 2009 ). Specifically, different forms of support emerged, including ‘informational support’ about medication use or contacting mental health providers, ‘esteem support’ involving positive comments for encouragement, ‘network support’ for sharing similar experiences, and ‘emotional support’ to express understanding of a peer’s situation and offer hope or confidence ( Chang, 2009 ). Bauer et al. (2013) reported that the main interest in online self-help forums for patients with bipolar disorder was to share emotions with others, allow exchange of information, and benefit by being part of an online social group ( Bauer, Bauer, Spiessl, & Kagerbauer, 2013 ).

For individuals who openly discuss mental health problems on Twitter, a study by Berry et al. (2017) found that this served as an important opportunity to seek support and to hear about the experiences of others ( Berry et al., 2017 ). In a survey of social media users with mental illness, respondents reported that sharing personal experiences about living with mental illness and opportunities to learn about strategies for coping with mental illness from others were important reasons for using social media ( Naslund et al., 2017 ). A computational study of mental health awareness campaigns on Twitter provides further support with inspirational posts and tips being the most shared ( Saha et al., 2019 ). Taken together, these studies offer insights about the potential for social media to facilitate access to an informal peer support network, though more research is necessary to examine how these online interactions may impact intentions to seek care, illness self-management, and clinically meaningful outcomes in offline contexts.

Promote Engagement and Retention in Services

Many individuals living with mental disorders have expressed interest in using social media platforms for seeking mental health information ( Lal, Nguyen, & Theriault, 2018 ), connecting with mental health providers ( M. L. Birnbaum et al., 2017 ), and accessing evidence-based mental health services delivered over social media specifically for coping with mental health symptoms or for promoting overall health and wellbeing ( Naslund et al., 2017 ). With the widespread use of social media among individuals living with mental illness combined with the potential to facilitate social interaction and connect with supportive peers, as summarized above, it may be possible to leverage the popular features of social media to enhance existing mental health programs and services. A recent review by Biagianti et al (2018) found that peer-to-peer support appeared to offer feasible and acceptable ways to augment digital mental health interventions for individuals with psychotic disorders by specifically improving engagement, compliance, and adherence to the interventions, and may also improve perceived social support ( Biagianti, Quraishi, & Schlosser, 2018 ).

Among digital programs that have incorporated peer-to-peer social networking consistent with popular features on social media platforms, a pilot study of the HORYZONS online psychosocial intervention demonstrated significant reductions in depression among patients with first episode psychosis ( Alvarez-Jimenez et al., 2013 ). Importantly, the majority of participants (95%) in this study engaged with the peer-to-peer networking feature of the program, with many reporting increases in perceived social connectedness and empowerment in their recovery process ( Alvarez-Jimenez et al., 2013 ). This moderated online social therapy program is now being evaluated as part of a large randomized controlled trial for maintaining treatment effects from first episode psychosis services ( Alvarez-Jimenez et al., 2019 ).

Other early efforts have demonstrated that use of digital environments with the interactive peer-to-peer features of social media can enhance social functioning and wellbeing in young people at high risk of psychosis ( Alvarez-Jimenez et al., 2018 ). There has also been a recent emergence of several mobile apps to support symptom monitoring and relapse prevention in psychotic disorders. Among these apps, the development of PRIME (Personalized Real-time Intervention for Motivational Enhancement) has involved working closely with young people with schizophrenia to ensure that the design of the app has the look and feel of mainstream social media platforms, as opposed to existing clinical tools ( Schlosser et al., 2016 ). This unique approach to the design of the app is aimed at promoting engagement, and ensuring that the app can effectively improve motivation and functioning through goal setting and promoting better quality of life of users with schizophrenia ( Schlosser et al., 2018 ).

Social media platforms could also be used to promote engagement and participation in in-person services delivered through community mental health settings. For example, the peer-based lifestyle intervention called PeerFIT targets weight loss and improved fitness among individuals living with serious mental illness through a combination of in-person lifestyle classes, exercise groups, and use of digital technologies ( Aschbrenner, Naslund, Shevenell, Kinney, & Bartels, 2016 ; Aschbrenner, Naslund, Shevenell, Mueser, & Bartels, 2016 ). The intervention holds tremendous promise as lack of support is one of the largest barriers toward exercise in patients with serious mental illness ( Firth et al., 2016 ) and it is now possible to use social media to counter such. Specifically, in PeerFIT, a private Facebook group is closely integrated into the program to offer a closed platform where participants can connect with the lifestyle coaches, access intervention content, and support or encourage each other as they work towards their lifestyle goals ( Aschbrenner, Naslund, & Bartels, 2016 ; Naslund, Aschbrenner, Marsch, & Bartels, 2016a ). To date, this program has demonstrate preliminary effectiveness for meaningfully reducing cardiovascular risk factors that contribute to early mortality in this patient group ( Aschbrenner, Naslund, Shevenell, Kinney, et al., 2016 ), while the Facebook component appears to have increased engagement in the program, while allowing participants who were unable to attend in-person sessions due to other health concerns or competing demands to remain connected with the program ( Naslund, Aschbrenner, Marsch, McHugo, & Bartels, 2018 ). This lifestyle intervention is currently being evaluated in a randomized controlled trial enrolling young adults with serious mental illness from a variety of real world community mental health services settings ( Aschbrenner, Naslund, Gorin, et al., 2018 ).

These examples highlight the promise of incorporating the features of popular social media into existing programs, which may offer opportunities to safely promote engagement and program retention, while achieving improved clinical outcomes. This is an emerging area of research, as evidenced by several important effectiveness trials underway ( Alvarez-Jimenez et al., 2019 ; Aschbrenner, Naslund, Gorin, et al., 2018 ), including efforts to leverage online social networking to support family caregivers of individuals receiving first episode psychosis services ( Gleeson et al., 2017 ).

Challenges with Social Media for Mental Health

The science on the role of social media for engaging persons with mental disorders needs a cautionary note on the effects of social media usage on mental health and well being, particularly in adolescents and young adults. While the risks and harms of social media are frequently covered in the popular press and mainstream news reports, careful consideration of the research in this area is necessary. In a review of 43 studies in young people, many benefits of social media were cited, including increased self-esteem, and opportunities for self-disclosure ( Best, Manktelow, & Taylor, 2014 ). Yet, reported negative effects were an increased exposure to harm, social isolation, depressive symptoms and bullying ( Best et al., 2014 ). In the sections that follow (see Table 1 for a summary), we consider three major categories of risk related to use of social media and mental health. These include: 1) Impact on symptoms; 2) Facing hostile interactions; and 3) Consequences for daily life.

Impact on Symptoms

Studies consistently highlight that use of social media, especially heavy use and prolonged time spent on social media platforms, appears to contribute to increased risk for a variety of mental health symptoms and poor wellbeing, especially among young people ( Andreassen et al., 2016 ; Kross et al., 2013 ; Woods & Scott, 2016 ). This may partly be driven by the detrimental effects of screen time on mental health, including increased severity of anxiety and depressive symptoms, which have been well documented ( Stiglic & Viner, 2019 ). Recent studies have reported negative effects of social media use on mental health of young people, including social comparison pressure with others and greater feeling of social isolation after being rejected by others on social media ( Rideout & Fox, 2018 ). In a study of young adults, it was found that negative comparisons with others on Facebook contributed to risk of rumination and subsequent increases in depression symptoms ( Feinstein et al., 2013 ). Still, the cross sectional nature of many screen time and mental health studies makes it challenging to reach causal inferences ( Orben & Przybylski, 2019 ).

Quantity of social media use is also an important factor, as highlighted in a survey of young adults ages 19 to 32, where more frequent visits to social media platforms each week were correlated with greater depressive symptoms ( Lin et al., 2016 ). More time spent using social media is also associated with greater symptoms of anxiety ( Vannucci, Flannery, & Ohannessian, 2017 ). The actual number of platforms accessed also appears to contribute to risk as reflected in another national survey of young adults where use of a large number of social media platforms was associated with negative impact on mental health ( Primack et al., 2017 ). Among survey respondents using between 7 and 11 different social media platforms compared to respondents using only 2 or fewer platforms, there was a 3 times greater odds of having high levels of depressive symptoms and a 3.2 times greater odds of having high levels of anxiety symptoms ( Primack et al., 2017 ).

Many researchers have postulated that worsening mental health attributed to social media use may be because social media replaces face-to-face interactions for young people ( Twenge & Campbell, 2018 ), and may contribute to greater loneliness ( Bucci et al., 2019 ), and negative effects on other aspects of health and wellbeing ( Woods & Scott, 2016 ). One nationally representative survey of US adolescents found that among respondents who reported more time accessing media such as social media platforms or smartphone devices, there was significantly greater depressive symptoms and increased risk of suicide when compared to adolescents who reported spending more time on non-screen activities, such as in-person social interaction or sports and recreation activities ( Twenge, Joiner, Rogers, & Martin, 2018 ). For individuals living with more severe mental illnesses, the effects of social media on psychiatric symptoms have received less attention. One study found that participation in chat rooms may contribute to worsening symptoms in young people with psychotic disorders ( Mittal, Tessner, & Walker, 2007 ), while another study of patients with psychosis found that social media use appeared to predict low mood ( Berry, Emsley, Lobban, & Bucci, 2018 ). These studies highlight a clear relationship between social media use and mental health that may not be present in general population studies ( Orben & Przybylski, 2019 ), and emphasize the need to explore how social media may contribute to symptom severity and whether protective factors may be identified to mitigate these risks.

Facing Hostile Interactions

Popular social media platforms can create potential situations where individuals may be victimized by negative comments or posts. Cyberbullying represents a form of online aggression directed towards specific individuals, such as peers or acquaintances, which is perceived to be most harmful when compared to random hostile comments posted online ( Hamm et al., 2015 ). Importantly, cyberbullying on social media consistently shows harmful impact on mental health in the form of increased depressive symptoms as well as worsening of anxiety symptoms, as evidenced in a review of 36 studies among children and young people ( Hamm et al., 2015 ). Furthermore, cyberbullying disproportionately impacts females as reflected in a national survey of adolescents in the United States, where females were twice as likely to be victims of cyberbullying compared to males ( Alhajji, Bass, & Dai, 2019 ). Most studies report cross-sectional associations between cyberbullying and symptoms of depression or anxiety ( Hamm et al., 2015 ), though one longitudinal study in Switzerland found that cyberbullying contributed to significantly greater depression over time ( Machmutow, Perren, Sticca, & Alsaker, 2012 ).

For youth ages 10 to 17 who reported major depressive symptomatology, there was over 3 times greater odds of facing online harassment in the last year compared to youth who reported mild or no depressive symptoms ( Ybarra, 2004 ). Similarly, in a 2018 national survey of young people, respondents ages 14 to 22 with moderate to severe depressive symptoms were more likely to have had negative experiences when using social media, and in particular, were more likely to report having faced hostile comments, or being “trolled”, from others when compared to respondents without depressive symptoms (31% vs. 14%) ( Rideout & Fox, 2018 ). As these studies depict risks for victimization on social media and the correlation with poor mental health, it is possible that individuals living with mental illness may also experience greater hostility online compared to individuals without mental illness. This would be consistent with research showing greater risk of hostility, including increased violence and discrimination, directed towards individuals living with mental illness in in-person contexts, especially targeted at those with severe mental illnesses ( Goodman et al., 1999 ).

A computational study of mental health awareness campaigns on Twitter reported that while stigmatizing content was rare, it was actually the most spread (re-tweeted) demonstrating that harmful content can travel quickly on social media ( Saha et al., 2019 ). Another study was able to map the spread of social media posts about the Blue Whale Challenge, an alleged game promoting suicide, over Twitter, YouTube, Reddit, Tumblr and other forums across 127 countries ( Sumner et al., 2019 ). These findings show that it is critical to monitor the actual content of social media posts, such as determining whether content is hostile or promotes harm to self or others. This is pertinent because existing research looking at duration of exposure cannot account for the impact of specific types of content on mental health and is insufficient to fully understand the effects of using these platforms on mental health.

Consequences for Daily Life

The ways in which individuals use social media can also impact their offline relationships and everyday activities. To date, reports have described risks of social media use pertaining to privacy, confidentiality, and unintended consequences of disclosing personal health information online ( Torous & Keshavan, 2016 ). Additionally, concerns have been raised about poor quality or misleading health information shared on social media, and that social media users may not be aware of misleading information or conflicts of interest especially when the platforms promote popular content regardless of whether it is from a trustworthy source ( Moorhead et al., 2013 ; Ventola, 2014 ). For persons living with mental illness there may be additional risks from using social media. A recent study that specifically explored the perspectives of social media users with serious mental illnesses, including participants with schizophrenia spectrum disorders, bipolar disorder, or major depression, found that over one third of participants expressed concerns about privacy when using social media ( Naslund & Aschbrenner, 2019 ). The reported risks of social media use were directly related to many aspects of everyday life, including concerns about threats to employment, fear of stigma and being judged, impact on personal relationships, and facing hostility or being hurt ( Naslund & Aschbrenner, 2019 ). While few studies have specifically explored the dangers of social media use from the perspectives of individuals living with mental illness, it is important to recognize that use of these platforms may contribute to risks that extend beyond worsening symptoms and that can affect different aspects of daily life.

In this commentary we considered ways in which social media may yield benefits for individuals living with mental illness, while contrasting these with the possible harms. Studies reporting on the threats of social media for individuals with mental illness are mostly cross-sectional, making it difficult to draw conclusions about direction of causation. However, the risks are potentially serious. These risks should be carefully considered in discussions pertaining to use of social media and the broader use of digital mental health technologies, as avenues for mental health promotion, or for supporting access to evidence-based programs or mental health services. At this point, it would be premature to view the benefits of social media as outweighing the possible harms, when it is clear from the studies summarized here that social media use can have negative effects on mental health symptoms, can potentially expose individuals to hurtful content and hostile interactions, and can result in serious consequences for daily life, including threats to employment and personal relationships. Despite these risks, it is also necessary to recognize that individuals with mental illness will continue to use social media given the ease of accessing these platforms and the immense popularity of online social networking. With this in mind, it may be ideal to raise awareness about these possible risks so that individuals can implement necessary safeguards, while also highlighting that there could also be benefits. For individuals with mental illness who use social media, being aware of the risks is an essential first step, and then highlighting ways that use of these popular platforms could also contribute to some benefits, ranging from finding meaningful interactions with others, engaging with peer support networks, and accessing information and services.

To capitalize on the widespread use of social media, and to achieve the promise that these platforms may hold for supporting the delivery of targeted mental health interventions, there is need for continued research to better understand how individuals living with mental illness use social media. Such efforts could inform safety measures and also encourage use of social media in ways that maximize potential benefits while minimizing risk of harm. It will be important to recognize how gender and race contribute to differences in use of social media for seeking mental health information or accessing interventions, as well as differences in how social media might impact mental wellbeing. For example, a national survey of 14- to 22-year olds in the United States found that female respondents were more likely to search online for information about depression or anxiety, and to try to connect with other people online who share similar mental health concerns, when compared to male respondents ( Rideout & Fox, 2018 ). In the same survey, there did not appear to be any differences between racial or ethnic groups in social media use for seeking mental health information ( Rideout & Fox, 2018 ). Social media use also appears to have a differential impact on mental health and emotional wellbeing between females and males ( Booker, Kelly, & Sacker, 2018 ), highlighting the need to explore unique experiences between gender groups to inform tailored programs and services. Research shows that lesbian, gay, bisexual or transgender individuals frequently use social media for searching for health information and may be more likely compared to heterosexual individuals to share their own personal health experiences with others online ( Rideout & Fox, 2018 ). Less is known about use of social media for seeking support for mental health concerns among gender minorities, though this is an important area for further investigation as these individuals are more likely to experience mental health problems and more likely to experience online victimization when compared to heterosexual individuals ( Mereish, Sheskier, Hawthorne, & Goldbach, 2019 ).

Similarly, efforts are needed to explore the relationship between social media use and mental health among ethnic and racial minorities. A recent study found that exposure to traumatic online content on social media showing violence or hateful posts directed at racial minorities contributed to increases in psychological distress, PTSD symptoms, and depression among African American and Latinx adolescents in the United States ( Tynes, Willis, Stewart, & Hamilton, 2019 ). These concerns are contrasted by growing interest in the potential for new technologies including social media to expand the reach of services to underrepresented minority groups ( Schueller, Hunter, Figueroa, & Aguilera, 2019 ). Therefore, greater attention is needed to understanding the perspectives of ethnic and racial minorities to inform effective and safe use of social media for mental health promotion efforts.

Research has found that individuals living with mental illness have expressed interest in accessing mental health services through social media platforms. A survey of social media users with mental illness found that most respondents were interested in accessing programs for mental health on social media targeting symptom management, health promotion, and support for communicating with health care providers and interacting with the health system ( Naslund et al., 2017 ). Importantly, individuals with serious mental illness have also emphasized that any mental health intervention on social media would need to be moderated by someone with adequate training and credentials, would need to have ground rules and ways to promote safety and minimize risks, and importantly, would need to be free and easy to access.

An important strength with this commentary is that it combines a range of studies broadly covering the topic of social media and mental health. We have provided a summary of recent evidence in a rapidly advancing field with the goal of presenting unique ways that social media could offer benefits for individuals with mental illness, while also acknowledging the potentially serious risks and the need for further investigation. There are also several limitations with this commentary that warrant consideration. Importantly, as we aimed to address this broad objective, we did not conduct a systematic review of the literature. Therefore, the studies reported here are not exhaustive, and there may be additional relevant studies that were not included. Additionally, we only summarized published studies, and as a result, any reports from the private sector or websites from different organizations using social media or other apps containing social media-like features would have been omitted. Though it is difficult to rigorously summarize work from the private sector, sometimes referred to as “gray literature”, because many of these projects are unpublished and are likely selective in their reporting of findings given the target audience may be shareholders or consumers.

Another notable limitation is that we did not assess risk of bias in the studies summarized in this commentary. We found many studies that highlighted risks associated with social media use for individuals living with mental illness; however, few studies of programs or interventions reported negative findings, suggesting the possibility that negative findings may go unpublished. This concern highlights the need for a future more rigorous review of the literature with careful consideration of bias and an accompanying quality assessment. Most of the studies that we described were from the United States, as well as from other higher income settings such as Australia or the United Kingdom. Despite the global reach of social media platforms, there is a dearth of research on the impact of these platforms on the mental health of individuals in diverse settings, as well as the ways in which social media could support mental health services in lower income countries where there is virtually no access to mental health providers. Future research is necessary to explore the opportunities and risks for social media to support mental health promotion in low-income and middle-income countries, especially as these countries face a disproportionate share of the global burden of mental disorders, yet account for the majority of social media users worldwide ( Naslund et al., 2019 ).

Future Directions for Social Media and Mental Health

As we consider future research directions, the near ubiquitous social media use also yields new opportunities to study the onset and manifestation of mental health symptoms and illness severity earlier than traditional clinical assessments. There is an emerging field of research referred to as ‘digital phenotyping’ aimed at capturing how individuals interact with their digital devices, including social media platforms, in order to study patterns of illness and identify optimal time points for intervention ( Jain, Powers, Hawkins, & Brownstein, 2015 ; Onnela & Rauch, 2016 ). Given that most people access social media via mobile devices, digital phenotyping and social media are closely related ( Torous et al., 2019 ). To date, the emergence of machine learning, a powerful computational method involving statistical and mathematical algorithms ( Shatte, Hutchinson, & Teague, 2019 ), has made it possible to study large quantities of data captured from popular social media platforms such as Twitter or Instagram to illuminate various features of mental health ( Manikonda & De Choudhury, 2017 ; Reece et al., 2017 ). Specifically, conversations on Twitter have been analyzed to characterize the onset of depression ( De Choudhury, Gamon, Counts, & Horvitz, 2013 ) as well as detecting users’ mood and affective states ( De Choudhury, Gamon, & Counts, 2012 ), while photos posted to Instagram can yield insights for predicting depression ( Reece & Danforth, 2017 ). The intersection of social media and digital phenotyping will likely add new levels of context to social media use in the near future.

Several studies have also demonstrated that when compared to a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns ( Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017 ), including more frequent discussion of tobacco use ( Hswen et al., 2017 ), symptoms of depression and anxiety ( Hswen, Naslund, Brownstein, & Hawkins, 2018b ), and suicide ( Hswen, Naslund, Brownstein, & Hawkins, 2018a ). Another study found that online disclosures about mental illness appeared beneficial as reflected by fewer posts about symptoms following self-disclosure (Ernala, Rizvi, Birnbaum, Kane, & De Choudhury, 2017). Each of these examples offers early insights into the potential to leverage widely available online data for better understanding the onset and course of mental illness. It is possible that social media data could be used to supplement additional digital data, such as continuous monitoring using smartphone apps or smart watches, to generate a more comprehensive ‘digital phenotype’ to predict relapse and identify high-risk health behaviors among individuals living with mental illness ( Torous et al., 2019 ).

With research increasingly showing the valuable insights that social media data can yield about mental health states, greater attention to the ethical concerns with using individual data in this way is necessary ( Chancellor, Birnbaum, Caine, Silenzio, & De Choudhury, 2019 ). For instance, data is typically captured from social media platforms without the consent or awareness of users ( Bidargaddi et al., 2017 ), which is especially crucial when the data relates to a socially stigmatizing health condition such as mental illness ( Guntuku, Yaden, Kern, Ungar, & Eichstaedt, 2017 ). Precautions are needed to ensure that data is not made identifiable in ways that were not originally intended by the user who posted the content, as this could place an individual at risk of harm or divulge sensitive health information ( Webb et al., 2017 ; Williams, Burnap, & Sloan, 2017 ). Promising approaches for minimizing these risks include supporting the participation of individuals with expertise in privacy, clinicians, as well as the target individuals with mental illness throughout the collection of data, development of predictive algorithms, and interpretation of findings ( Chancellor et al., 2019 ).

In recognizing that many individuals living with mental illness use social media to search for information about their mental health, it is possible that they may also want to ask their clinicians about what they find online to check if the information is reliable and trustworthy. Alternatively, many individuals may feel embarrassed or reluctant to talk to their clinicians about using social media to find mental health information out of concerns of being judged or dismissed. Therefore, mental health clinicians may be ideally positioned to talk with their patients about using social media, and offer recommendations to promote safe use of these sites, while also respecting their patients’ autonomy and personal motivations for using these popular platforms. Given the gap in clinical knowledge about the impact of social media on mental health, clinicians should be aware of the many potential risks so that they can inform their patients, while remaining open to the possibility that their patients may also experience benefits through use of these platforms. As awareness of these risks grows, it may be possible that new protections will be put in place by industry or through new policies that will make the social media environment safer. It is hard to estimate a number needed to treat or harm today given the nascent state of research, which means the patient and clinician need to weigh the choice on a personal level. Thus offering education and information is an important first step in that process. As patients increasingly show interest in accessing mental health information or services through social media, it will be necessary for health systems to recognize social media as a potential avenue for reaching or offering support to patients. This aligns with growing emphasis on the need for greater integration of digital psychiatry, including apps, smartphones, or wearable devices, into patient care and clinical services through institution-wide initiatives and training clinical providers ( Hilty, Chan, Torous, Luo, & Boland, 2019 ). Within a learning healthcare environment where research and care are tightly intertwined and feedback between both is rapid, the integration of digital technologies into services may create new opportunities for advancing use of social media for mental health.

As highlighted in this commentary, social media has become an important part of the lives of many individuals living with mental disorders. Many of these individuals use social media to share their lived experiences with mental illness, to seek support from others, and to search for information about treatment recommendations, accessing mental health services, and coping with symptoms ( Bucci et al., 2019 ; Highton-Williamson et al., 2015 ; Naslund, Aschbrenner, et al., 2016b ). As the field of digital mental health advances, the wide reach, ease of access, and popularity of social media platforms could be used to allow individuals in need of mental health services or facing challenges of mental illness to access evidence-based treatment and support. To achieve this end and to explore whether social media platforms can advance efforts to close the gap in available mental health services in the United States and globally, it will be essential for researchers to work closely with clinicians and with those affected by mental illness to ensure that possible benefits of using social media are carefully weighed against anticipated risks.

Acknowledgements

Dr. Naslund is supported by a grant from the National Institute of Mental Health (U19MH113211). Dr. Aschbrenner is supported by a grant from the National Institute of Mental Health (1R01MH110965-01).

Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of a an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.

Conflict of Interest

The authors have nothing to disclose.

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ORIGINAL RESEARCH article

Effects of social media use on psychological well-being: a mediated model.

• 1 School of Finance and Economics, Jiangsu University, Zhenjiang, China
• 2 Research Unit of Governance, Competitiveness, and Public Policies (GOVCOPP), Center for Economics and Finance (cef.up), School of Economics and Management, University of Porto, Porto, Portugal
• 3 Department of Business Administration, Sukkur Institute of Business Administration (IBA) University, Sukkur, Pakistan
• 4 CETYS Universidad, Tijuana, Mexico
• 5 Department of Business Administration, Al-Quds University, Jerusalem, Israel
• 6 Business School, Shandong University, Weihai, China

The growth in social media use has given rise to concerns about the impacts it may have on users' psychological well-being. This paper's main objective is to shed light on the effect of social media use on psychological well-being. Building on contributions from various fields in the literature, it provides a more comprehensive study of the phenomenon by considering a set of mediators, including social capital types (i.e., bonding social capital and bridging social capital), social isolation, and smartphone addiction. The paper includes a quantitative study of 940 social media users from Mexico, using structural equation modeling (SEM) to test the proposed hypotheses. The findings point to an overall positive indirect impact of social media usage on psychological well-being, mainly due to the positive effect of bonding and bridging social capital. The empirical model's explanatory power is 45.1%. This paper provides empirical evidence and robust statistical analysis that demonstrates both positive and negative effects coexist, helping to reconcile the inconsistencies found so far in the literature.

Introduction

The use of social media has grown substantially in recent years ( Leong et al., 2019 ; Kemp, 2020 ). Social media refers to “the websites and online tools that facilitate interactions between users by providing them opportunities to share information, opinions, and interest” ( Swar and Hameed, 2017 , p. 141). Individuals use social media for many reasons, including entertainment, communication, and searching for information. Notably, adolescents and young adults are spending an increasing amount of time on online networking sites, e-games, texting, and other social media ( Twenge and Campbell, 2019 ). In fact, some authors (e.g., Dhir et al., 2018 ; Tateno et al., 2019 ) have suggested that social media has altered the forms of group interaction and its users' individual and collective behavior around the world.

Consequently, there are increased concerns regarding the possible negative impacts associated with social media usage addiction ( Swar and Hameed, 2017 ; Kircaburun et al., 2020 ), particularly on psychological well-being ( Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ). Smartphones sometimes distract their users from relationships and social interaction ( Chotpitayasunondh and Douglas, 2016 ; Li et al., 2020a ), and several authors have stressed that the excessive use of social media may lead to smartphone addiction ( Swar and Hameed, 2017 ; Leong et al., 2019 ), primarily because of the fear of missing out ( Reer et al., 2019 ; Roberts and David, 2020 ). Social media usage has been associated with anxiety, loneliness, and depression ( Dhir et al., 2018 ; Reer et al., 2019 ), social isolation ( Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ), and “phubbing,” which refers to the extent to which an individual uses, or is distracted by, their smartphone during face-to-face communication with others ( Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ).

However, social media use also contributes to building a sense of connectedness with relevant others ( Twenge and Campbell, 2019 ), which may reduce social isolation. Indeed, social media provides several ways to interact both with close ties, such as family, friends, and relatives, and weak ties, including coworkers, acquaintances, and strangers ( Chen and Li, 2017 ), and plays a key role among people of all ages as they exploit their sense of belonging in different communities ( Roberts and David, 2020 ). Consequently, despite the fears regarding the possible negative impacts of social media usage on well-being, there is also an increasing number of studies highlighting social media as a new communication channel ( Twenge and Campbell, 2019 ; Barbosa et al., 2020 ), stressing that it can play a crucial role in developing one's presence, identity, and reputation, thus facilitating social interaction, forming and maintaining relationships, and sharing ideas ( Carlson et al., 2016 ), which consequently may be significantly correlated to social support ( Chen and Li, 2017 ; Holliman et al., 2021 ). Interestingly, recent studies (e.g., David et al., 2018 ; Bano et al., 2019 ; Barbosa et al., 2020 ) have suggested that the impact of smartphone usage on psychological well-being depends on the time spent on each type of application and the activities that users engage in.

Hence, the literature provides contradictory cues regarding the impacts of social media on users' well-being, highlighting both the possible negative impacts and the social enhancement it can potentially provide. In line with views on the need to further investigate social media usage ( Karikari et al., 2017 ), particularly regarding its societal implications ( Jiao et al., 2017 ), this paper argues that there is an urgent need to further understand the impact of the time spent on social media on users' psychological well-being, namely by considering other variables that mediate and further explain this effect.

One of the relevant perspectives worth considering is that provided by social capital theory, which is adopted in this paper. Social capital theory has previously been used to study how social media usage affects psychological well-being (e.g., Bano et al., 2019 ). However, extant literature has so far presented only partial models of associations that, although statistically acceptable and contributing to the understanding of the scope of social networks, do not provide as comprehensive a vision of the phenomenon as that proposed within this paper. Furthermore, the contradictory views, suggesting both negative (e.g., Chotpitayasunondh and Douglas, 2016 ; Van Den Eijnden et al., 2016 ; Jiao et al., 2017 ; Whaite et al., 2018 ; Choi and Noh, 2019 ; Chatterjee, 2020 ) and positive impacts ( Carlson et al., 2016 ; Chen and Li, 2017 ; Twenge and Campbell, 2019 ) of social media on psychological well-being, have not been adequately explored.

Given this research gap, this paper's main objective is to shed light on the effect of social media use on psychological well-being. As explained in detail in the next section, this paper explores the mediating effect of bonding and bridging social capital. To provide a broad view of the phenomenon, it also considers several variables highlighted in the literature as affecting the relationship between social media usage and psychological well-being, namely smartphone addiction, social isolation, and phubbing. The paper utilizes a quantitative study conducted in Mexico, comprising 940 social media users, and uses structural equation modeling (SEM) to test a set of research hypotheses.

This article provides several contributions. First, it adds to existing literature regarding the effect of social media use on psychological well-being and explores the contradictory indications provided by different approaches. Second, it proposes a conceptual model that integrates complementary perspectives on the direct and indirect effects of social media use. Third, it offers empirical evidence and robust statistical analysis that demonstrates that both positive and negative effects coexist, helping resolve the inconsistencies found so far in the literature. Finally, this paper provides insights on how to help reduce the potential negative effects of social media use, as it demonstrates that, through bridging and bonding social capital, social media usage positively impacts psychological well-being. Overall, the article offers valuable insights for academics, practitioners, and society in general.

The remainder of this paper is organized as follows. Section Literature Review presents a literature review focusing on the factors that explain the impact of social media usage on psychological well-being. Based on the literature review, a set of hypotheses are defined, resulting in the proposed conceptual model, which includes both the direct and indirect effects of social media usage on psychological well-being. Section Research Methodology explains the methodological procedures of the research, followed by the presentation and discussion of the study's results in section Results. Section Discussion is dedicated to the conclusions and includes implications, limitations, and suggestions for future research.

Literature Review

Putnam (1995 , p. 664–665) defined social capital as “features of social life – networks, norms, and trust – that enable participants to act together more effectively to pursue shared objectives.” Li and Chen (2014 , p. 117) further explained that social capital encompasses “resources embedded in one's social network, which can be assessed and used for instrumental or expressive returns such as mutual support, reciprocity, and cooperation.”

Putnam (1995 , 2000) conceptualized social capital as comprising two dimensions, bridging and bonding, considering the different norms and networks in which they occur. Bridging social capital refers to the inclusive nature of social interaction and occurs when individuals from different origins establish connections through social networks. Hence, bridging social capital is typically provided by heterogeneous weak ties ( Li and Chen, 2014 ). This dimension widens individual social horizons and perspectives and provides extended access to resources and information. Bonding social capital refers to the social and emotional support each individual receives from his or her social networks, particularly from close ties (e.g., family and friends).

Overall, social capital is expected to be positively associated with psychological well-being ( Bano et al., 2019 ). Indeed, Williams (2006) stressed that interaction generates affective connections, resulting in positive impacts, such as emotional support. The following sub-sections use the lens of social capital theory to explore further the relationship between the use of social media and psychological well-being.

Social Media Use, Social Capital, and Psychological Well-Being

The effects of social media usage on social capital have gained increasing scholarly attention, and recent studies have highlighted a positive relationship between social media use and social capital ( Brown and Michinov, 2019 ; Tefertiller et al., 2020 ). Li and Chen (2014) hypothesized that the intensity of Facebook use by Chinese international students in the United States was positively related to social capital forms. A longitudinal survey based on the quota sampling approach illustrated the positive effects of social media use on the two social capital dimensions ( Chen and Li, 2017 ). Abbas and Mesch (2018) argued that, as Facebook usage increases, it will also increase users' social capital. Karikari et al. (2017) also found positive effects of social media use on social capital. Similarly, Pang (2018) studied Chinese students residing in Germany and found positive effects of social networking sites' use on social capital, which, in turn, was positively associated with psychological well-being. Bano et al. (2019) analyzed the 266 students' data and found positive effects of WhatsApp use on social capital forms and the positive effect of social capital on psychological well-being, emphasizing the role of social integration in mediating this positive effect.

Kim and Kim (2017) stressed the importance of having a heterogeneous network of contacts, which ultimately enhances the potential social capital. Overall, the manifest and social relations between people from close social circles (bonding social capital) and from distant social circles (bridging social capital) are strengthened when they promote communication, social support, and the sharing of interests, knowledge, and skills, which are shared with other members. This is linked to positive effects on interactions, such as acceptance, trust, and reciprocity, which are related to the individuals' health and psychological well-being ( Bekalu et al., 2019 ), including when social media helps to maintain social capital between social circles that exist outside of virtual communities ( Ellison et al., 2007 ).

Grounded on the above literature, this study proposes the following hypotheses:

H1a: Social media use is positively associated with bonding social capital.

H1b: Bonding social capital is positively associated with psychological well-being.

H2a: Social media use is positively associated with bridging social capital.

H2b: Bridging social capital is positively associated with psychological well-being.

Social Media Use, Social Isolation, and Psychological Well-Being

Social isolation is defined as “a deficit of personal relationships or being excluded from social networks” ( Choi and Noh, 2019 , p. 4). The state that occurs when an individual lacks true engagement with others, a sense of social belonging, and a satisfying relationship is related to increased mortality and morbidity ( Primack et al., 2017 ). Those who experience social isolation are deprived of social relationships and lack contact with others or involvement in social activities ( Schinka et al., 2012 ). Social media usage has been associated with anxiety, loneliness, and depression ( Dhir et al., 2018 ; Reer et al., 2019 ), and social isolation ( Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ). However, some recent studies have argued that social media use decreases social isolation ( Primack et al., 2017 ; Meshi et al., 2020 ). Indeed, the increased use of social media platforms such as Facebook, WhatsApp, Instagram, and Twitter, among others, may provide opportunities for decreasing social isolation. For instance, the improved interpersonal connectivity achieved via videos and images on social media helps users evidence intimacy, attenuating social isolation ( Whaite et al., 2018 ).

Chappell and Badger (1989) stated that social isolation leads to decreased psychological well-being, while Choi and Noh (2019) concluded that greater social isolation is linked to increased suicide risk. Schinka et al. (2012) further argued that, when individuals experience social isolation from siblings, friends, family, or society, their psychological well-being tends to decrease. Thus, based on the literature cited above, this study proposes the following hypotheses:

H3a: Social media use is significantly associated with social isolation.

H3b: Social isolation is negatively associated with psychological well-being.

Social Media Use, Smartphone Addiction, Phubbing, and Psychological Well-Being

Smartphone addiction refers to “an individuals' excessive use of a smartphone and its negative effects on his/her life as a result of his/her inability to control his behavior” ( Gökçearslan et al., 2018 , p. 48). Regardless of its form, smartphone addiction results in social, medical, and psychological harm to people by limiting their ability to make their own choices ( Chotpitayasunondh and Douglas, 2016 ). The rapid advancement of information and communication technologies has led to the concept of social media, e-games, and also to smartphone addiction ( Chatterjee, 2020 ). The excessive use of smartphones for social media use, entertainment (watching videos, listening to music), and playing e-games is more common amongst people addicted to smartphones ( Jeong et al., 2016 ). In fact, previous studies have evidenced the relationship between social use and smartphone addiction ( Salehan and Negahban, 2013 ; Jeong et al., 2016 ; Swar and Hameed, 2017 ). In line with this, the following hypotheses are proposed:

H4a: Social media use is positively associated with smartphone addiction.

H4b: Smartphone addiction is negatively associated with psychological well-being.

While smartphones are bringing individuals closer, they are also, to some extent, pulling people apart ( Tonacci et al., 2019 ). For instance, they can lead to individuals ignoring others with whom they have close ties or physical interactions; this situation normally occurs due to extreme smartphone use (i.e., at the dinner table, in meetings, at get-togethers and parties, and in other daily activities). This act of ignoring others is called phubbing and is considered a common phenomenon in communication activities ( Guazzini et al., 2019 ; Chatterjee, 2020 ). Phubbing is also referred to as an act of snubbing others ( Chatterjee, 2020 ). This term was initially used in May 2012 by an Australian advertising agency to describe the “growing phenomenon of individuals ignoring their families and friends who were called phubbee (a person who is a recipients of phubbing behavior) victim of phubber (a person who start phubbing her or his companion)” ( Chotpitayasunondh and Douglas, 2018 ). Smartphone addiction has been found to be a determinant of phubbing ( Kim et al., 2018 ). Other recent studies have also evidenced the association between smartphones and phubbing ( Chotpitayasunondh and Douglas, 2016 ; Guazzini et al., 2019 ; Tonacci et al., 2019 ; Chatterjee, 2020 ). Vallespín et al. (2017 ) argued that phubbing behavior has a negative influence on psychological well-being and satisfaction. Furthermore, smartphone addiction is considered responsible for the development of new technologies. It may also negatively influence individual's psychological proximity ( Chatterjee, 2020 ). Therefore, based on the above discussion and calls for the association between phubbing and psychological well-being to be further explored, this study proposes the following hypotheses:

H5: Smartphone addiction is positively associated with phubbing.

H6: Phubbing is negatively associated with psychological well-being.

Indirect Relationship Between Social Media Use and Psychological Well-Being

Beyond the direct hypotheses proposed above, this study investigates the indirect effects of social media use on psychological well-being mediated by social capital forms, social isolation, and phubbing. As described above, most prior studies have focused on the direct influence of social media use on social capital forms, social isolation, smartphone addiction, and phubbing, as well as the direct impact of social capital forms, social isolation, smartphone addiction, and phubbing on psychological well-being. Very few studies, however, have focused on and evidenced the mediating role of social capital forms, social isolation, smartphone addiction, and phubbing derived from social media use in improving psychological well-being ( Chen and Li, 2017 ; Pang, 2018 ; Bano et al., 2019 ; Choi and Noh, 2019 ). Moreover, little is known about smartphone addiction's mediating role between social media use and psychological well-being. Therefore, this study aims to fill this gap in the existing literature by investigating the mediation of social capital forms, social isolation, and smartphone addiction. Further, examining the mediating influence will contribute to a more comprehensive understanding of social media use on psychological well-being via the mediating associations of smartphone addiction and psychological factors. Therefore, based on the above, we propose the following hypotheses (the conceptual model is presented in Figure 1 ):

H7: (a) Bonding social capital; (b) bridging social capital; (c) social isolation; and (d) smartphone addiction mediate the relationship between social media use and psychological well-being.

Figure 1 . Conceptual model.

Research Methodology

Sample procedure and online survey.

This study randomly selected students from universities in Mexico. We chose University students for the following reasons. First, students are considered the most appropriate sample for e-commerce studies, particularly in the social media context ( Oghazi et al., 2018 ; Shi et al., 2018 ). Second, University students are considered to be frequent users and addicted to smartphones ( Mou et al., 2017 ; Stouthuysen et al., 2018 ). Third, this study ensured that respondents were experienced, well-educated, and possessed sufficient knowledge of the drawbacks of social media and the extreme use of smartphones. A total sample size of 940 University students was ultimately achieved from the 1,500 students contacted, using a convenience random sampling approach, due both to the COVID-19 pandemic and budget and time constraints. Additionally, in order to test the model, a quantitative empirical study was conducted, using an online survey method to collect data. This study used a web-based survey distributed via social media platforms for two reasons: the COVID-19 pandemic; and to reach a large number of respondents ( Qalati et al., 2021 ). Furthermore, online surveys are considered a powerful and authenticated tool for new research ( Fan et al., 2021 ), while also representing a fast, simple, and less costly approach to collecting data ( Dutot and Bergeron, 2016 ).

Data Collection Procedures and Respondent's Information

Data were collected by disseminating a link to the survey by e-mail and social network sites. Before presenting the closed-ended questionnaire, respondents were assured that their participation would remain voluntary, confidential, and anonymous. Data collection occurred from July 2020 to December 2020 (during the pandemic). It should be noted that, because data were collected during the pandemic, this may have had an influence on the results of the study. The reason for choosing a six-month lag time was to mitigate common method bias (CMB) ( Li et al., 2020b ). In the present study, 1,500 students were contacted via University e-mail and social applications (Facebook, WhatsApp, and Instagram). We sent a reminder every month for 6 months (a total of six reminders), resulting in 940 valid responses. Thus, 940 (62.6% response rate) responses were used for hypotheses testing.

Table 1 reveals that, of the 940 participants, three-quarters were female (76.4%, n = 719) and nearly one-quarter (23.6%, n = 221) were male. Nearly half of the participants (48.8%, n = 459) were aged between 26 and 35 years, followed by 36 to 35 years (21.9%, n = 206), <26 (20.3%, n = 191), and over 45 (8.9%, n = 84). Approximately two-thirds (65%, n = 611) had a bachelor's degree or above, while one-third had up to 12 years of education. Regarding the daily frequency of using the Internet, nearly half (48.6%, n = 457) of the respondents reported between 5 and 8 h a day, and over one-quarter (27.2%) 9–12 h a day. Regarding the social media platforms used, over 38.5 and 39.6% reported Facebook and WhatsApp, respectively. Of the 940 respondents, only 22.1% reported Instagram (12.8%) and Twitter (9.2%). It should be noted, however, that the sample is predominantly female and well-educated.

Table 1 . Respondents' characteristics.

Measurement Items

The study used five-point Likert scales (1 = “strongly disagree;” 5 = “strongly agree”) to record responses.

Social Media Use

Social media use was assessed using four items adapted from Karikari et al. (2017) . Sample items include “Social media is part of my everyday activity,” “Social media has become part of my daily life,” “I would be sorry if social media shut down,” and “I feel out of touch, when I have not logged onto social media for a while.” The adapted items had robust reliability and validity (CA = 783, CR = 0.857, AVE = 0.600).

Social Capital

Social capital was measured using a total of eight items, representing bonding social capital (four items) and bridging social capital (four items) adapted from Chan (2015) . Sample construct items include: bonging social capital (“I am willing to spend time to support general community activities,” “I interact with people who are quite different from me”) and bridging social capital (“My social media community is a good place to be,” “Interacting with people on social media makes me want to try new things”). The adapted items had robust reliability and validity [bonding social capital (CA = 0.785, CR = 0.861, AVE = 0.608) and bridging social capital (CA = 0.834, CR = 0.883, AVE = 0.601)].

Social Isolation

Social isolation was assessed using three items from Choi and Noh (2019) . Sample items include “I do not have anyone to play with,” “I feel alone from people,” and “I have no one I can trust.” This adapted scale had substantial reliability and validity (CA = 0.890, CR = 0.928, AVE = 0.811).

Smartphone Addiction

Smartphone addiction was assessed using five items taken from Salehan and Negahban (2013) . Sample items include “I am always preoccupied with my mobile,” “Using my mobile phone keeps me relaxed,” and “I am not able to control myself from frequent use of mobile phones.” Again, these adapted items showed substantial reliability and validity (CA = 903, CR = 0.928, AVE = 0.809).

Phubbing was assessed using four items from Chotpitayasunondh and Douglas (2018) . Sample items include: “I have conflicts with others because I am using my phone” and “I would rather pay attention to my phone than talk to others.” This construct also demonstrated significant reliability and validity (CA = 770, CR = 0.894, AVE = 0.809).

Psychological Well-Being

Psychological well-being was assessed using five items from Jiao et al. (2017) . Sample items include “I lead a purposeful and meaningful life with the help of others,” “My social relationships are supportive and rewarding in social media,” and “I am engaged and interested in my daily on social media.” This study evidenced that this adapted scale had substantial reliability and validity (CA = 0.886, CR = 0.917, AVE = 0.688).

Data Analysis

Based on the complexity of the association between the proposed construct and the widespread use and acceptance of SmartPLS 3.0 in several fields ( Hair et al., 2019 ), we utilized SEM, using SmartPLS 3.0, to examine the relationships between constructs. Structural equation modeling is a multivariate statistical analysis technique that is used to investigate relationships. Further, it is a combination of factor and multivariate regression analysis, and is employed to explore the relationship between observed and latent constructs.

SmartPLS 3.0 “is a more comprehensive software program with an intuitive graphical user interface to run partial least square SEM analysis, certainly has had a massive impact” ( Sarstedt and Cheah, 2019 ). According to Ringle et al. (2015) , this commercial software offers a wide range of algorithmic and modeling options, improved usability, and user-friendly and professional support. Furthermore, Sarstedt and Cheah (2019) suggested that structural equation models enable the specification of complex interrelationships between observed and latent constructs. Hair et al. (2019) argued that, in recent years, the number of articles published using partial least squares SEM has increased significantly in contrast to covariance-based SEM. In addition, partial least squares SEM using SmartPLS is more appealing for several scholars as it enables them to predict more complex models with several variables, indicator constructs, and structural paths, instead of imposing distributional assumptions on the data ( Hair et al., 2019 ). Therefore, this study utilized the partial least squares SEM approach using SmartPLS 3.0.

Common Method Bias (CMB) Test

This study used the Kaiser–Meyer–Olkin (KMO) test to measure the sampling adequacy and ensure data suitability. The KMO test result was 0.874, which is greater than an acceptable threshold of 0.50 ( Ali Qalati et al., 2021 ; Shrestha, 2021 ), and hence considered suitable for explanatory factor analysis. Moreover, Bartlett's test results demonstrated a significance level of 0.001, which is considered good as it is below the accepted threshold of 0.05.

The term CMB is associated with Campbell and Fiske (1959) , who highlighted the importance of CMB and identified that a portion of variance in the research may be due to the methods employed. It occurs when all scales of the study are measured at the same time using a single questionnaire survey ( Podsakoff and Organ, 1986 ); subsequently, estimates of the relationship among the variables might be distorted by the impacts of CMB. It is considered a serious issue that has a potential to “jeopardize” the validity of the study findings ( Tehseen et al., 2017 ). There are several reasons for CMB: (1) it mainly occurs due to response “tendencies that raters can apply uniformity across the measures;” and (2) it also occurs due to similarities in the wording and structure of the survey items that produce similar results ( Jordan and Troth, 2019 ). Harman's single factor test and a full collinearity approach were employed to ensure that the data was free from CMB ( Tehseen et al., 2017 ; Jordan and Troth, 2019 ; Ali Qalati et al., 2021 ). Harman's single factor test showed a single factor explained only 22.8% of the total variance, which is far below the 50.0% acceptable threshold ( Podsakoff et al., 2003 ).

Additionally, the variance inflation factor (VIF) was used, which is a measure of the amount of multicollinearity in a set of multiple regression constructs and also considered a way of detecting CMB ( Hair et al., 2019 ). Hair et al. (2019) suggested that the acceptable threshold for the VIF is 3.0; as the computed VIFs for the present study ranged from 1.189 to 1.626, CMB is not a key concern (see Table 2 ). Bagozzi et al. (1991) suggested a correlation-matrix procedure to detect CMB. Common method bias is evident if correlation among the principle constructs is >0.9 ( Tehseen et al., 2020 ); however, no values >0.9 were found in this study (see section Assessment of Measurement Model). This study used a two-step approach to evaluate the measurement model and the structural model.

Table 2 . Common method bias (full collinearity VIF).

Assessment of Measurement Model

Before conducting the SEM analysis, the measurement model was assessed to examine individual item reliability, internal consistency, and convergent and discriminant validity. Table 3 exhibits the values of outer loading used to measure an individual item's reliability ( Hair et al., 2012 ). Hair et al. (2017) proposed that the value for each outer loading should be ≥0.7; following this principle, two items of phubbing (PHUB3—I get irritated if others ask me to get off my phone and talk to them; PHUB4—I use my phone even though I know it irritated others) were removed from the analysis Hair et al. (2019) . According to Nunnally (1978) , Cronbach's alpha values should exceed 0.7. The threshold values of constructs in this study ranged from 0.77 to 0.903. Regarding internal consistency, Bagozzi and Yi (1988) suggested that composite reliability (CR) should be ≥0.7. The coefficient value for CR in this study was between 0.857 and 0.928. Regarding convergent validity, Fornell and Larcker (1981) suggested that the average variance extracted (AVE) should be ≥0.5. Average variance extracted values in this study were between 0.60 and 0.811. Finally, regarding discriminant validity, according to Fornell and Larcker (1981) , the square root of the AVE for each construct should exceed the inter-correlations of the construct with other model constructs. That was the case in this study, as shown in Table 4 .

Table 3 . Study measures, factor loading, and the constructs' reliability and convergent validity.

Table 4 . Discriminant validity and correlation.

Hence, by analyzing the results of the measurement model, it can be concluded that the data are adequate for structural equation estimation.

Assessment of the Structural Model

This study used the PLS algorithm and a bootstrapping technique with 5,000 bootstraps as proposed by Hair et al. (2019) to generate the path coefficient values and their level of significance. The coefficient of determination ( R 2 ) is an important measure to assess the structural model and its explanatory power ( Henseler et al., 2009 ; Hair et al., 2019 ). Table 5 and Figure 2 reveal that the R 2 value in the present study was 0.451 for psychological well-being, which means that 45.1% of changes in psychological well-being occurred due to social media use, social capital forms (i.e., bonding and bridging), social isolation, smartphone addiction, and phubbing. Cohen (1998) proposed that R 2 values of 0.60, 0.33, and 0.19 are considered substantial, moderate, and weak. Following Cohen's (1998) threshold values, this research demonstrates a moderate predicting power for psychological well-being among Mexican respondents ( Table 6 ).

Table 5 . Summary of path coefficients and hypothesis testing.

Figure 2 . Structural model.

Table 6 . Strength of the model (Predictive relevance, coefficient of determination, and model fit indices).

Apart from the R 2 measure, the present study also used cross-validated redundancy measures, or effect sizes ( q 2 ), to assess the proposed model and validate the results ( Ringle et al., 2012 ). Hair et al. (2019) suggested that a model exhibiting an effect size q 2 > 0 has predictive relevance ( Table 6 ). This study's results evidenced that it has a 0.15 <0.29 <0.35 (medium) predictive relevance, as 0.02, 0.15, and 0.35 are considered small, medium, and large, respectively ( Cohen, 1998 ). Regarding the goodness-of-fit indices, Hair et al. (2019) suggested the standardized root mean square residual (SRMR) to evaluate the goodness of fit. Standardized root mean square is an absolute measure of fit: a value of zero indicates perfect fit and a value <0.08 is considered good fit ( Hair et al., 2019 ). This study exhibits an adequate model fitness level with an SRMR value of 0.063 ( Table 6 ).

Table 5 reveals that all hypotheses of the study were accepted base on the criterion ( p -value < 0.05). H1a (β = 0.332, t = 10.283, p = 0.001) was confirmed, with the second most robust positive and significant relationship (between social media use and bonding social capital). In addition, this study evidenced a positive and significant relationship between bonding social capital and psychological well-being (β = 0.127, t = 4.077, p = 0.001); therefore, H1b was accepted. Regarding social media use and bridging social capital, the present study found the most robust positive and significant impact (β = 0.439, t = 15.543, p = 0.001); therefore, H2a was accepted. The study also evidenced a positive and significant association between bridging social capital and psychological well-being (β = 0.561, t = 20.953, p = 0.001); thus, H2b was accepted. The present study evidenced a significant effect of social media use on social isolation (β = 0.145, t = 4.985, p = 0.001); thus, H3a was accepted. In addition, this study accepted H3b (β = −0.051, t = 2.01, p = 0.044). Furthermore, this study evidenced a positive and significant effect of social media use on smartphone addiction (β = 0.223, t = 6.241, p = 0.001); therefore, H4a was accepted. Furthermore, the present study found that smartphone addiction has a negative significant influence on psychological well-being (β = −0.068, t = 2.387, p = 0.017); therefore, H4b was accepted. Regarding the relationship between smartphone addiction and phubbing, this study found a positive and significant effect of smartphone addiction on phubbing (β = 0.244, t = 7.555, p = 0.001); therefore, H5 was accepted. Furthermore, the present research evidenced a positive and significant influence of phubbing on psychological well-being (β = 0.137, t = 4.938, p = 0.001); therefore, H6 was accepted. Finally, the study provides interesting findings on the indirect effect of social media use on psychological well-being ( t -value > 1.96 and p -value < 0.05); therefore, H7a–d were accepted.

Furthermore, to test the mediating analysis, Preacher and Hayes's (2008) approach was used. The key characteristic of an indirect relationship is that it involves a third construct, which plays a mediating role in the relationship between the independent and dependent constructs. Logically, the effect of A (independent construct) on C (the dependent construct) is mediated by B (a third variable). Preacher and Hayes (2008) suggested the following: B is a construct acting as a mediator if A significantly influences B, A significantly accounts for variability in C, B significantly influences C when controlling for A, and the influence of A on C decreases significantly when B is added simultaneously with A as a predictor of C. According to Matthews et al. (2018) , if the indirect effect is significant while the direct insignificant, full mediation has occurred, while if both direct and indirect effects are substantial, partial mediation has occurred. This study evidenced that there is partial mediation in the proposed construct ( Table 5 ). Following Preacher and Hayes (2008) this study evidenced that there is partial mediation in the proposed construct, because the relationship between independent variable (social media use) and dependent variable (psychological well-being) is significant ( p -value < 0.05) and indirect effect among them after introducing mediator (bonding social capital, bridging social capital, social isolation, and smartphone addiction) is also significant ( p -value < 0.05), therefore it is evidenced that when there is a significant effect both direct and indirect it's called partial mediation.

The present study reveals that the social and psychological impacts of social media use among University students is becoming more complex as there is continuing advancement in technology, offering a range of affordable interaction opportunities. Based on the 940 valid responses collected, all the hypotheses were accepted ( p < 0.05).

H1a finding suggests that social media use is a significant influencing factor of bonding social capital. This implies that, during a pandemic, social media use enables students to continue their close relationships with family members, friends, and those with whom they have close ties. This finding is in line with prior work of Chan (2015) and Ellison et al. (2007) , who evidenced that social bonding capital is predicted by Facebook use and having a mobile phone. H1b findings suggest that, when individuals believe that social communication can help overcome obstacles to interaction and encourage more virtual self-disclosure, social media use can improve trust and promote the establishment of social associations, thereby enhancing well-being. These findings are in line with those of Gong et al. (2021) , who also witnessed the significant effect of bonding social capital on immigrants' psychological well-being, subsequently calling for the further evidence to confirm the proposed relationship.

The findings of the present study related to H2a suggest that students are more likely to use social media platforms to receive more emotional support, increase their ability to mobilize others, and to build social networks, which leads to social belongingness. Furthermore, the findings suggest that social media platforms enable students to accumulate and maintain bridging social capital; further, online classes can benefit students who feel shy when participating in offline classes. This study supports the previous findings of Chan (2015) and Karikari et al. (2017) . Notably, the present study is not limited to a single social networking platform, taking instead a holistic view of social media. The H2b findings are consistent with those of Bano et al. (2019) , who also confirmed the link between bonding social capital and psychological well-being among University students using WhatsApp as social media platform, as well as those of Chen and Li (2017) .

The H3a findings suggest that, during the COVID-19 pandemic when most people around the world have had limited offline or face-to-face interaction and have used social media to connect with families, friends, and social communities, they have often been unable to connect with them. This is due to many individuals avoiding using social media because of fake news, financial constraints, and a lack of trust in social media; thus, the lack both of offline and online interaction, coupled with negative experiences on social media use, enhances the level of social isolation ( Hajek and König, 2021 ). These findings are consistent with those of Adnan and Anwar (2020) . The H3b suggests that higher levels of social isolation have a negative impact on psychological well-being. These result indicating that, consistent with Choi and Noh (2019) , social isolation is negatively and significantly related to psychological well-being.

The H4a results suggests that substantial use of social media use leads to an increase in smartphone addiction. These findings are in line with those of Jeong et al. (2016) , who stated that the excessive use of smartphones for social media, entertainment (watching videos, listening to music), and playing e-games was more likely to lead to smartphone addiction. These findings also confirm the previous work of Jeong et al. (2016) , Salehan and Negahban (2013) , and Swar and Hameed (2017) . The H4b results revealed that a single unit increase in smartphone addiction results in a 6.8% decrease in psychological well-being. These findings are in line with those of Tangmunkongvorakul et al. (2019) , who showed that students with higher levels of smartphone addiction had lower psychological well-being scores. These findings also support those of Shoukat (2019) , who showed that smartphone addiction inversely influences individuals' mental health.

This suggests that the greater the smartphone addiction, the greater the phubbing. The H5 findings are in line with those of Chatterjee (2020) , Chotpitayasunondh and Douglas (2016) , Guazzini et al. (2019) , and Tonacci et al. (2019) , who also evidenced a significant impact of smartphone addiction and phubbing. Similarly, Chotpitayasunondh and Douglas (2018) corroborated that smartphone addiction is the main predictor of phubbing behavior. However, these findings are inconsistent with those of Vallespín et al. (2017 ), who found a negative influence of phubbing.

The H6 results suggests that phubbing is one of the significant predictors of psychological well-being. Furthermore, these findings suggest that, when phubbers use a cellphone during interaction with someone, especially during the current pandemic, and they are connected with many family members, friends, and relatives; therefore, this kind of action gives them more satisfaction, which simultaneously results in increased relaxation and decreased depression ( Chotpitayasunondh and Douglas, 2018 ). These findings support those of Davey et al. (2018) , who evidenced that phubbing has a significant influence on adolescents and social health students in India.

The findings showed a significant and positive effect of social media use on psychological well-being both through bridging and bonding social capital. However, a significant and negative effect of social media use on psychological well-being through smartphone addiction and through social isolation was also found. Hence, this study provides evidence that could shed light on the contradictory contributions in the literature suggesting both positive (e.g., Chen and Li, 2017 ; Twenge and Campbell, 2019 ; Roberts and David, 2020 ) and negative (e.g., Chotpitayasunondh and Douglas, 2016 ; Jiao et al., 2017 ; Choi and Noh, 2019 ; Chatterjee, 2020 ) effects of social media use on psychological well-being. This study concludes that the overall impact is positive, despite some degree of negative indirect impact.

Theoretical Contributions

This study's findings contribute to the current literature, both by providing empirical evidence for the relationships suggested by extant literature and by demonstrating the relevance of adopting a more complex approach that considers, in particular, the indirect effect of social media on psychological well-being. As such, this study constitutes a basis for future research ( Van Den Eijnden et al., 2016 ; Whaite et al., 2018 ) aiming to understand the impacts of social media use and to find ways to reduce its possible negative impacts.

In line with Kim and Kim (2017) , who stressed the importance of heterogeneous social networks in improving social capital, this paper suggests that, to positively impact psychological well-being, social media usage should be associated both with strong and weak ties, as both are important in building social capital, and hence associated with its bonding and bridging facets. Interestingly, though, bridging capital was shown as having the greatest impact on psychological well-being. Thus, the importance of wider social horizons, the inclusion in different groups, and establishing new connections ( Putnam, 1995 , 2000 ) with heterogeneous weak ties ( Li and Chen, 2014 ) are highlighted in this paper.

Practical Contributions

These findings are significant for practitioners, particularly those interested in dealing with the possible negative impacts of social media use on psychological well-being. Although social media use is associated with factors that negatively impact psychological well-being, particularly smartphone addiction and social isolation, these negative impacts can be lessened if the connections with both strong and weak ties are facilitated and featured by social media. Indeed, social media platforms offer several features, from facilitating communication with family, friends, and acquaintances, to identifying and offering access to other people with shared interests. However, it is important to access heterogeneous weak ties ( Li and Chen, 2014 ) so that social media offers access to wider sources of information and new resources, hence enhancing bridging social capital.

Limitations and Directions for Future Studies

This study is not without limitations. For example, this study used a convenience sampling approach to reach to a large number of respondents. Further, this study was conducted in Mexico only, limiting the generalizability of the results; future research should therefore use a cross-cultural approach to investigate the impacts of social media use on psychological well-being and the mediating role of proposed constructs (e.g., bonding and bridging social capital, social isolation, and smartphone addiction). The sample distribution may also be regarded as a limitation of the study because respondents were mainly well-educated and female. Moreover, although Internet channels represent a particularly suitable way to approach social media users, the fact that this study adopted an online survey does not guarantee a representative sample of the population. Hence, extrapolating the results requires caution, and study replication is recommended, particularly with social media users from other countries and cultures. The present study was conducted in the context of mainly University students, primarily well-educated females, via an online survey on in Mexico; therefore, the findings represent a snapshot at a particular time. Notably, however, the effect of social media use is increasing due to COVID-19 around the globe and is volatile over time.

Two of the proposed hypotheses of this study, namely the expected negative impacts of social media use on social isolation and of phubbing on psychological well-being, should be further explored. One possible approach is to consider the type of connections (i.e., weak and strong ties) to explain further the impact of social media usage on social isolation. Apparently, the prevalence of weak ties, although facilitating bridging social capital, may have an adverse impact in terms of social isolation. Regarding phubbing, the fact that the findings point to a possible positive impact on psychological well-being should be carefully addressed, specifically by psychology theorists and scholars, in order to identify factors that may help further understand this phenomenon. Other suggestions for future research include using mixed-method approaches, as qualitative studies could help further validate the results and provide complementary perspectives on the relationships between the considered variables.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Jiangsu University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

This study is supported by the National Statistics Research Project of China (2016LY96).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Keywords: smartphone addiction, social isolation, bonding social capital, bridging social capital, phubbing, social media use

Citation: Ostic D, Qalati SA, Barbosa B, Shah SMM, Galvan Vela E, Herzallah AM and Liu F (2021) Effects of Social Media Use on Psychological Well-Being: A Mediated Model. Front. Psychol. 12:678766. doi: 10.3389/fpsyg.2021.678766

Received: 10 March 2021; Accepted: 25 May 2021; Published: 21 June 2021.

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Copyright © 2021 Ostic, Qalati, Barbosa, Shah, Galvan Vela, Herzallah and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sikandar Ali Qalati, sidqalati@gmail.com ; 5103180243@stmail.ujs.edu.cn ; Esthela Galvan Vela, esthela.galvan@cetys.mx

† ORCID: Dragana Ostic orcid.org/0000-0002-0469-1342 Sikandar Ali Qalati orcid.org/0000-0001-7235-6098 Belem Barbosa orcid.org/0000-0002-4057-360X Esthela Galvan Vela orcid.org/0000-0002-8778-3989 Feng Liu orcid.org/0000-0001-9367-049X

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Note also that repositories may offer anonymized links to data, materials, code, or preregistrations (e.g., Create a View-only Link for a Project ).

If your manuscript was mask reviewed, please ensure that the final version for production includes a byline and full author note for typesetting.

Author contribution statements using CRediT

The APA Publication Manual ( 7th ed. ) , which stipulates that “authorship encompasses…not only persons who do the writing but also those who have made substantial scientific contributions to a study.” In the spirit of transparency and openness, Psychology of Popular Media has adopted the Contributor Roles Taxonomy (CRediT) to describe each author's individual contributions to the work. CRediT offers authors the opportunity to share an accurate and detailed description of their diverse contributions to a manuscript.

Submitting authors are encouraged to identify the contributions of all authors at initial submission according to the CRediT taxonomy. If the manuscript is accepted for publication, the CRediT designations will be published as an author contributions statement in the author note of the final article. All authors should have reviewed and agreed to their individual contribution(s) before submission.

CRediT includes 14 contributor roles, as described below:

• Conceptualization : Ideas; formulation or evolution of overarching research goals and aims.
• Data curation : Management activities to annotate (produce metadata), scrub data and maintain research data (including software code, where it is necessary for interpreting the data itself) for initial use and later re-use.
• Formal analysis : Application of statistical, mathematical, computational, or other formal techniques to analyze or synthesize study data.
• Funding acquisition : Acquisition of the financial support for the project leading to this publication.
• Investigation : Conducting a research and investigation process, specifically performing the experiments, or data/evidence collection.
• Methodology : Development or design of methodology; creation of models.
• Project administration : Management and coordination responsibility for the research activity planning and execution.
• Resources : Provision of study materials, reagents, materials, patients, laboratory samples, animals, instrumentation, computing resources, or other analysis tools.
• Software : Programming, software development; designing computer programs; implementation of the computer code and supporting algorithms; testing of existing code components.
• Supervision : Oversight and leadership responsibility for the research activity planning and execution, including mentorship external to the core team.
• Validation : Verification, whether as a part of the activity or separate, of the overall replication/reproducibility of results/experiments and other research outputs.
• Visualization : Preparation, creation and/or presentation of the published work, specifically visualization/data presentation.
• Writing—original draft : Preparation, creation and/or presentation of the published work, specifically writing the initial draft (including substantive translation).
• Writing—review and editing : Preparation, creation and/or presentation of the published work by those from the original research group, specifically critical review, commentary or revision: including pre- or post-publication stages.

Authors can claim credit for more than one contributor role, and the same role can be attributed to more than one author. Not all roles will be applicable to any particular scholarly work.

Manuscript preparation

Review APA's Journal Manuscript Preparation Guidelines before submitting your article.

Full-length articles

Manuscripts must be no longer than 30 pages, inclusive of everything (e.g., references, figures, tables, title page, and appendices). Authors can include unlimited supplemental materials to be posted electronically.

Double-space all copy.

Other formatting instructions, as well as instructions on preparing tables, figures, references, metrics, and abstracts, appear in the Manual. Additional guidance on APA Style is available on the  APA Style website .

Brief reports

Authors may choose to submit their work in the form of a Brief Report. Brief Reports can be an ideal format for: research studies of high methodological rigor that can be reported very effectively in a brief format; research showcasing high interest findings succinctly; sound investigations of a preliminary nature on high-interest topics; well-conducted replication studies, regardless of outcome; brief theoretical pieces or literature reviews that advance the field.

Authors choosing this option should indicate in their cover letter that they wish their submission to be considered as a Brief Report and that they agree not to submit a longer report of the same research to another journal. Brief Reports should be 15 pages double spaced inclusive of references, figures and tables, but exclusive of title page. As with regular submissions, authors are encouraged to place additional details in a Supplemental Materials section.

Journal Article Reporting Standards (JARS)

Authors are required to follow the APA Style Journal Article Reporting Standards (JARS) for quantitative , qualitative , and mixed methods research . Updated in 2018, the standards offer ways to improve transparency in reporting to ensure that readers have the information necessary to evaluate the quality of the research and to facilitate collaboration and replication. The new JARS:

• Recommend the division of hypotheses, analyses and conclusions into primary, secondary and exploratory groupings to allow for a full understanding of quantitative analyses presented in a manuscript and to enhance reproducibility;
• Offer modules for authors reporting on N-of-1 designs, replications, clinical trials, longitudinal studies and observational studies, as well as the analytic methods of structural equation modeling and Bayesian analysis;
• Include guidelines on reporting on registration (including making protocols public); participant characteristics, including demographic characteristics; inclusion and exclusion criteria; psychometric characteristics of outcome measures and other variables; and planned data diagnostics and analytic strategy.

Openness and transparency

Authors should state all sources of financial support for the conduct of the research (e.g., This research was supported by Award XX from the Eunice Kennedy Shriver Institute of Child Health and Human Development) in the author note. If the funding source was involved in any other aspects of the research (e.g., study design, analysis, interpretation, writing), then clearly state the role. If the funding source had no other involvement other than financial support, then simply state that the funding source had no other role other than financial support.

Authors should also provide a conflict of interest statement in the author note disclosing any real or potentially perceived conflict(s) of interest, including financial, personal, or other relationships with other organizations or companies that may inappropriately impact or influence the research and interpretation of the findings. If there are no conflicts of interest, this should be clearly stated.

Authors should provide a data availability statement indicating whether the data, methods used in the analysis, code, and materials used to conduct the research will be made available to any researcher for purposes of reproducing the results or replicating the procedure. In both the author note and at the end of the method section, either specify where that material will be available or note the ethical or legal reasons for not doing so.

Preregistration of studies and analysis plans can be useful for distinguishing confirmatory and exploratory analyses. We encourage investigators to preregister their studies and analysis plans prior to conducting the research (e.g., Open Science Framework, ClinicalTrials.gov). If any aspect of the study is preregistered, include the registry link in the Author Note.

Authors who have posted their manuscripts to preprint archives , such as PsyArXiv, prior to submission should include a link to the preprint in the author note.

Research disclosures

The Method section of each empirical report must contain a detailed description of the study participants, including age, sex and race/ethnicity and other demographics pertinent to the subject of study.

In the Discussion section of the manuscript, authors should discuss the diversity of their study samples.

The Method section also must include a statement describing how informed consent was obtained from the participants (or their parents/guardians), including for secondary use of data if applicable, and indicate that the study was conducted in compliance with an appropriate Internal Review Board.

Replications

In addition to full-length research papers reporting novel findings, the journal publishes replications, giving equal consideration to replications with null results. Preregistration of replication studies is strongly recommended, but not required (see examples of preregistrations on the Open Science Framework, ClinicalTrials.gov, AsPredicted, and the WHO Registry Network, among others).

Display equations

We strongly encourage you to use MathType (third-party software) or Equation Editor 3.0 (built into pre-2007 versions of Word) to construct your equations, rather than the equation support that is built into Word 2007 and Word 2010. Equations composed with the built-in Word 2007/Word 2010 equation support are converted to low-resolution graphics when they enter the production process and must be rekeyed by the typesetter, which may introduce errors.

To construct your equations with MathType or Equation Editor 3.0:

• Go to the Text section of the Insert tab and select Object.
• Select MathType or Equation Editor 3.0 in the drop-down menu.

If you have an equation that has already been produced using Microsoft Word 2007 or 2010 and you have access to the full version of MathType 6.5 or later, you can convert this equation to MathType by clicking on MathType Insert Equation. Copy the equation from Microsoft Word and paste it into the MathType box. Verify that your equation is correct, click File, and then click Update. Your equation has now been inserted into your Word file as a MathType Equation.

Use Equation Editor 3.0 or MathType only for equations or for formulas that cannot be produced as Word text using the Times or Symbol font.

Computer code

Because altering computer code in any way (e.g., indents, line spacing, line breaks, page breaks) during the typesetting process could alter its meaning, we treat computer code differently from the rest of your article in our production process. To that end, we request separate files for computer code.

In Online Supplemental Material

We request that runnable source code be included as supplemental material to the article. For more information, visit Supplementing Your Article With Online Material .

In the Text of the Article

If you would like to include code in the text of your published manuscript, please submit a separate file with your code exactly as you want it to appear, using Courier New font with a type size of 8 points. We will make an image of each segment of code in your article that exceeds 40 characters in length. (Shorter snippets of code that appear in text will be typeset in Courier New and run in with the rest of the text.) If an appendix contains a mix of code and explanatory text, please submit a file that contains the entire appendix, with the code keyed in 8-point Courier New.

Use Word's Insert Table function when you create tables. Using spaces or tabs in your table will create problems when the table is typeset and may result in errors.

Public policy relevance statements

Authors submitting manuscripts to Psychology of Popular Media are required to provide 2–3 brief sentences regarding the public significance statements of the study or meta-analysis described in their paper. This description should be included within the manuscript on the abstract/keywords page. It should be written in language that is easily understood by both professionals and members of the lay public.

When an accepted paper is published, these sentences will be boxed beneath the abstract for easy accessibility. All such descriptions will also be published as part of the Table of Contents, as well as on the journal's web page. This new policy is in keeping with efforts to increase dissemination and usage by larger and diverse audiences.

Examples of these 2–3 sentences include the following:

• "A brief cognitive–behavioral intervention for caregivers of children undergoing hematopoietic stem cell transplant reduced caregiver distress during the transplant hospitalization. Long-term effects on caregiver distress were found for more anxious caregivers as well as caregivers of children who developed graft-versus-host disease after the transplant."
• "Inhibitory processes, particularly related to temporal attention, may play a critical role in response to exposure therapy for posttraumatic stress disorder (PTSD). The main finding that individuals with PTSD who made more clinical improvement showed faster improvement in inhibition over the course of exposure therapy supports the utility of novel therapeutic interventions that specifically target attentional inhibition and better patient-treatment matching."
• "When children participated in the enriched preschool program Head Start REDI, they were more likely to follow optimal developmental trajectories of social– emotional functioning through third grade. Ensuring that all children living in poverty have access to high-quality preschool may be one of the more effective means of reducing disparities in school readiness and increasing the likelihood of lifelong success."

To be maximally useful, these statements of public significance should not simply be sentences lifted directly from the manuscript.

They are meant to be informative and useful to any reader. They should provide a bottom-line, take-home message that is accurate and easily understood. In addition, they should be able to be translated into media-appropriate statements for use in press releases and on social media.

Prior to final acceptance and publication, all public significance statements will be carefully reviewed to make sure they meet these standards. Authors will be expected to revise statements as necessary.

Please refer to Guidance for Translational Abstracts and Public Significance Statements to help you write this text.

Academic writing and English language editing services

Authors who feel that their manuscript may benefit from additional academic writing or language editing support prior to submission are encouraged to seek out such services at their host institutions, engage with colleagues and subject matter experts, and/or consider several vendors that offer discounts to APA authors .

Please note that APA does not endorse or take responsibility for the service providers listed. It is strictly a referral service.

Use of such service is not mandatory for publication in an APA journal. Use of one or more of these services does not guarantee selection for peer review, manuscript acceptance, or preference for publication in any APA journal.

Submitting supplemental materials

APA can place supplemental materials online, available via the published article in the APA PsycArticles ® database. Please see Supplementing Your Article With Online Material for more details.

Abstract and keywords

All manuscripts must include an abstract containing a maximum of 250 words typed on a separate page. After the abstract, please supply up to five keywords or brief phrases.

List references in alphabetical order. Each listed reference should be cited in text, and each text citation should be listed in the References section.

Examples of basic reference formats:

Journal Article

McCauley, S. M., & Christiansen, M. H. (2019). Language learning as language use: A cross-linguistic model of child language development. Psychological Review , 126 (1), 1–51. https://doi.org/10.1037/rev0000126

Authored book

Brown, L. S. (2018). Feminist therapy (2nd ed.). American Psychological Association. https://doi.org/10.1037/0000092-000

Chapter in an edited book

Balsam, K. F., Martell, C. R., Jones. K. P., & Safren, S. A. (2019). Affirmative cognitive behavior therapy with sexual and gender minority people. In G. Y. Iwamasa & P. A. Hays (Eds.), Culturally responsive cognitive behavior therapy: Practice and supervision (2nd ed., pp. 287–314). American Psychological Association. https://doi.org/10.1037/0000119-012

All data, program code and other methods must be appropriately cited in the text and listed in the reference section. 

• Data Set Citation: Alegria, M., Jackson, J. S., Kessler, R. C., & Takeuchi, D. (2016). Collaborative Psychiatric Epidemiology Surveys (CPES), 2001–2003 [Data set]. Inter-university Consortium for Political and Social Research. http://doi.org/10.3886/ICPSR20240.v8

Preferred formats for graphics files are TIFF and JPG, and preferred format for vector-based files is EPS. Graphics downloaded or saved from web pages are not acceptable for publication. Multipanel figures (i.e., figures with parts labeled a, b, c, d, etc.) should be assembled into one file. When possible, please place symbol legends below the figure instead of to the side.

• All color line art and halftones: 300 DPI
• Black and white line tone and gray halftone images: 600 DPI

Line weights

• Color (RGB, CMYK) images: 2 pixels
• Grayscale images: 4 pixels
• Stroke weight: 0.5 points

APA offers authors the option to publish their figures online in color without the costs associated with print publication of color figures.

The same caption will appear on both the online (color) and print (black and white) versions. To ensure that the figure can be understood in both formats, authors should add alternative wording (e.g., “the red (dark gray) bars represent”) as needed.

For authors who prefer their figures to be published in color both in print and online, original color figures can be printed in color at the editor's and publisher's discretion provided the author agrees to pay:

• $900 for one figure
• An additional $600 for the second figure
• An additional $450 for each subsequent figure

Permissions

Authors of accepted papers must obtain and provide to the editor on final acceptance all necessary permissions to reproduce in print and electronic form any copyrighted work, including test materials (or portions thereof), photographs, and other graphic images (including those used as stimuli in experiments).

On advice of counsel, APA may decline to publish any image whose copyright status is unknown.

• Download Permissions Alert Form (PDF, 13KB)

Open science badges

Starting in August 2017, articles are eligible for open science badges recognizing publicly available data, materials, and/or preregistration plans and analyses. These badges are awarded on a self-disclosure basis.

At submission, authors must confirm that criteria have been fulfilled in a signed badge disclosure form (PDF, 33KB) that must be submitted as supplemental material. If all criteria are met as confirmed by the editor, the form will then be published with the article as supplemental material.

Authors should also note their eligibility for the badge(s) in the cover letter.

For all badges, items must be made available on an open-access repository with a persistent identifier in a format that is time-stamped, immutable, and permanent. For the preregistered badge, this is an institutional registration system.

Data and materials must be made available under an open license allowing others to copy, share, and use the data, with attribution and copyright as applicable.

Available badges are:

Note that it may not be possible to preregister a study or to share data and materials. Applying for open science badges is optional.

Publication policies

APA policy prohibits an author from submitting the same manuscript for concurrent consideration by two or more publications.

See also APA Journals ® Internet Posting Guidelines .

APA requires authors to reveal any possible conflict of interest in the conduct and reporting of research (e.g., financial interests in a test or procedure, funding by pharmaceutical companies for drug research).

• Download Full Disclosure of Interests Form (PDF, 41KB)

Ethical Principles

It is a violation of APA Ethical Principles to publish "as original data, data that have been previously published" (Standard 8.13).

In addition, APA Ethical Principles specify that "after research results are published, psychologists do not withhold the data on which their conclusions are based from other competent professionals who seek to verify the substantive claims through reanalysis and who intend to use such data only for that purpose, provided that the confidentiality of the participants can be protected and unless legal rights concerning proprietary data preclude their release" (Standard 8.14).

APA expects authors to adhere to these standards. Specifically, APA expects authors to have their data available throughout the editorial review process and for at least 5 years after the date of publication.

Authors are required to state in writing that they have complied with APA ethical standards in the treatment of their sample, human or animal, or to describe the details of treatment.

• Download Certification of Compliance With APA Ethical Principles Form (PDF, 26KB)

The APA Ethics Office provides the full Ethical Principles of Psychologists and Code of Conduct electronically on its website in HTML, PDF, and Word format. You may also request a copy by emailing or calling the APA Ethics Office (202-336-5930). You may also read "Ethical Principles," December 1992, American Psychologist , Vol. 47, pp. 1597–1611.

Other information

See APA’s Publishing Policies page for more information on publication policies, including information on author contributorship and responsibilities of authors, author name changes after publication, the use of generative artificial intelligence, funder information and conflict-of-interest disclosures, duplicate publication, data publication and reuse, and preprints.

Visit the Journals Publishing Resource Center for more resources for writing, reviewing, and editing articles for publishing in APA journals.

Karen Shackleford, PhD Fielding Graduate University, United States

Associate editors

Allison Eden, PhD Michigan State University, United States

Morgan E. Ellithorpe, PhD University of Delaware, United States

Andreas Miles-Novelo, PhD Fielding Graduate University, United States

Gayle S. Stever, PhD Empire State University of New York, United States

Patrick James Sweeney, MPhil, PhD Fielding Graduate University, United States

Megan A. Vendemia, PhD West Virginia University, United States

Founding editors

Joanne Broder, PhD Saint Joseph's University, United States

James C. Kaufman, PhD University of Connecticut, United States

Consulting editors

Cassandra Alexopoulos, PhD University of Massachusetts Boston, United States

Craig A. Anderson, PhD Iowa State University, United States

Anita Atwell Seate, PhD University of Maryland, United States

Joshua Baldwin, PhD University of Georgia, United States

Omotayo Banjo, PhD University of Cincinnati, United States

Anne Bartsch, PhD University of Leipzig, Germany

Denise D. Bielby, PhD University of California, Santa Barbara, United States

Fran Blumberg, PhD Fordham University, United States

Bradley J. Bond, PhD University of San Diego, United States

Nicholas D. Bowman, PhD West Virginia University, United States

Johannes Breuer, PhD GESIS—Leibniz Institute for the Social Sciences, Germany

Brad J. Bushman, PhD The Ohio State University, United States

Sharon Coen, PhD University of Salford, United Kingdom

J. David Cohen, MSc Empire State University, United States

Sarah M. Coyne, PhD Brigham Young University, United States

Sonya Dal Cin, PhD University of Michigan, United States

Grant J. Devilly, BSc(Hons), MClinPsych, PhD Griffith University, Australia

Arienne Ferchaud, PhD Florida State University, United States

Lance C. Garmon, PhD Salisbury University, United States

Douglas A. Gentile, PhD Iowa State University, United States

David Giles, PhD University of Winchester, United Kingdom

Melanie C. Green, PhD University at Buffalo (SUNY), United States

Matthew Grizzard, PhD The Ohio State University, United States

Karla R. Hamlen Mansour, PhD Cleveland State University, United States

James D. Ivory, PhD Virginia Tech, United States

Benjamin K. Johnson, PhD University of Florida, United States

Elly A. Konijn, PhD Vrije Universiteit Amsterdam, The Netherlands

Raymond A. Mar, PhD York University, Canada

Brandon Miller, PhD University of Massachusetts Boston, United States

Keith Oatley, PhD University of Toronto, Canada

Art Raney, PhD Florida State University, United States

Meghan S. Sanders, PhD Louisiana State University, United States

Angeline Sangalang, PhD University of Dayton, United States

Erica Scharrer, PhD University of Massachusetts Amherst, United States

Bharath Sriraman, PhD The University of Montana - Missoula, United States

Laramie D. Taylor, PhD University of California Davis, United States

Riva Tukachinsky, PhD Chapman University, United States

Sonya Utz, PhD Leibniz-Institut für Wissensmedien Tübingen (Knowledge Media Research Center); University of Tübingen, Germany

David Westerman, PhD North Dakota State University, United States

Abstracting and indexing services providing coverage of Psychology of Popular Media ®

• Web of Science Emerging Sources Citation Index (ESCI)

Special issue of the APA journal Psychology of Popular Media, Vol. 11, No. 3, July 2022. The articles shed light on the role of entertainment media in emotional regulation processes, psychological need fulfillment, social connection, diversion, parenting, and even activism.

Special issue of the APA journal Psychology of Popular Media Culture, Vol. 4, No. 4, October 2015. Includes articles about violent, sports, and fantasy games; daily game playing and learning strategies; and parenting style influences.

Special issue of the APA journal Psychology of Popular Media Culture, Vol. 4, No. 1, January 2015. Includes articles about female stereotypes in TV, movies, video games, and music.

Inclusive reporting standards

• Bias-free language and community-driven language guidelines (required)
• Data sharing and data availability statements (required)
• Impact statements (required)

Definitions and further details on inclusive study designs are available on the Journals EDI homepage .

• Author contribution roles using CRediT (required)

More information on this journal’s reporting standards is listed under the submission guidelines tab .

Other EDI offerings

Orcid reviewer recognition.

Open Research and Contributor ID (ORCID) Reviewer Recognition provides a visible and verifiable way for journals to publicly credit reviewers without compromising the confidentiality of the peer-review process. This journal has implemented the ORCID Reviewer Recognition feature in Editorial Manager, meaning that reviewers can be recognized for their contributions to the peer-review process.

Masked peer review

This journal offers masked peer review (where both the authors’ and reviewers’ identities are not known to the other). Research has shown that masked peer review can help reduce implicit bias against traditionally female names or early-career scientists with smaller publication records (Budden et al., 2008; Darling, 2015).

Announcements

• Virtual Media Psychology Symposium 2020 | Popular Media’s Role in a World on Fire: Panel Discussion with the Editors of the APA Journal Psychology of Popular Media
• New editor appointed

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