ArticleDepression and anxiety2011
Feeling bad on Facebook: depression disclosures by college students on a social networking site.
Article in Depression and anxiety, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
118 citing papers in PubMed, 3 syntheses or guidelines pooled it, 616 citations in OpenAlex.
- Researching Mental Health Disorders in the Era of Social Media: Systematic Review.Journal of medical Internet research · 2017Pooled it
- Online and social networking interventions for the treatment of depression in young people: a systematic review.Journal of medical Internet research · 2014Pooled it
- The use of social networking sites for public health practice and research: a systematic review.Journal of medical Internet research · 2014Pooled it
- Facebook enhances antidepressant pharmacotherapy effects.TheScientificWorldJournal · 2014Trial
- Directly Observing and Characterizing Adolescents' Self-Generated Social Media Posts: Protocol for Creation and Implementation of a Cyberethnography Informed Codebook.JMIR research protocols · 2026Article
- Post-secondary student adoption of mental health labels through their use of social media: a scoping review.BMJ open · 2026Article
- A longitudinal inquiry into the vicious cycle of social media addiction and self-injury: the moderating role of resilience.Frontiers in psychiatry · 2026Article
- Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study.Journal of medical Internet research · 2025Article
- Network analysis of adolescent non-suicidal self-injury subgroups identified through latent profile analysis.World journal of psychiatry · 2024Article
- AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges.Journal of medical Internet research · 2024Review
- Support from Social Media during the COVID-19 Pandemic: A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2024Review
- Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.Scientific reports · 2024Article
- Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities.Journal of healthcare informatics research · 2024Article
- Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time.PeerJ. Computer science · 2024Article
- Investigating machine learning and natural language processing techniques applied for detecting eating disorders: a systematic literature review.Frontiers in psychiatry · 2024Review
- "I have some wishes, which are actually demands." A qualitative mixed methods study on the impact of consumerism on the therapeutic relationship in mental healthcare.Frontiers in health services · 2024Article
- Research on the detection model of mental illness of online forum users based on convolutional network.BMC psychology · 2023Article
- The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study.Journal of medical Internet research · 2023Article
- Social Support-Seeking Strategies on Social Media at the Intersection of Lesbian, Gay, Bisexual, Transgender, and Queer Identity, Race, and Ethnicity: Insights for Intervention From a Qualitative Study.JMIR formative research · 2023Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDepression is common and frequently undiagnosed among college students. Social networking sites are popular among college students and can include displayed depression references. The purpose of this study was to evaluate college students' Facebook disclosures that met DSM criteria for a depression symptom or a major depressive episode (MDE).
methodsWe selected public Facebook profiles from sophomore and junior undergraduates and evaluated personally written text: "status updates." We applied DSM criteria to 1-year status updates from each profile to determine prevalence of displayed depression symptoms and MDE criteria. Negative binomial regression analysis was used to model the association between depression disclosures and demographics or Facebook use characteristics.
resultsTwo hundred profiles were evaluated, and profile owners were 43.5% female with a mean age of 20 years. Overall, 25% of profiles displayed depressive symptoms and 2.5% met criteria for MDE. Profile owners were more likely to reference depression, if they averaged at least one online response from their friends to a status update disclosing depressive symptoms (exp(B) = 2.1, P <.001), or if they used Facebook more frequently (P <.001).
conclusionCollege students commonly display symptoms consistent with depression on Facebook. Our findings suggest that those who receive online reinforcement from their friends are more likely to discuss their depressive symptoms publicly on Facebook. Given the frequency of depression symptom displays on public profiles, social networking sites could be an innovative avenue for combating stigma surrounding mental health conditions or for identifying students at risk for depression.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.