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On the State of Social Media Data for Mental Health Research

arXiv 2011.05233 ↗First posted 10 Nov 2020cs.CLcited by 32

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Abstract (arXiv)

Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain, in terms of both medical understanding and system performance, remains bounded by the availability of adequate data. Prior systematic reviews have not necessarily made it possible to measure the degree to which data-related challenges have affected research progress. In this paper, we offer an analysis specifically on the state of social media data that exists for conducting mental health research. We do so by introducing an open-source directory of mental health datasets, annotated using a standardized schema to facilitate meta-analysis.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Nov 2020.

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Citing papers per year: 2021: 3; 2022: 6; 2023: 6; 2024: 4; 2025: 8; 2026: 5.

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  1. 2021PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Supportcited by 92
  2. 2022Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnairescited by 26
  3. 2025CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answeringcited by 20
  4. 2021Gender and Racial Fairness in Depression Research using Social Mediacited by 17
  5. 2022Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in Chinacited by 17
  6. 2023Rethinking Large Language Models in Mental Health Applicationscited by 16
  7. 2024Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twittercited by 12
  8. 2023Understanding Client Reactions in Online Mental Health Counselingcited by 9
  9. 2024On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlookcited by 6
  10. 2025Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agentscited by 6
  11. 2025Datasets for Depression Modeling in Social Media: An Overviewcited by 5
  12. 2022Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnosescited by 4
20 more
  1. 2023A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnairescited by 4
  2. 2023WellXplain: Wellness Concept Extraction and Classification in Reddit Posts for Mental Health Analysiscited by 4
  3. 2025DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counselingcited by 4
  4. 2024Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophreniacited by 3
  5. 2025A Survey on Multilingual Mental Disorders Detection from Social Media Datacited by 3
  6. 2021Quantifying the Suicidal Tendency on Social Media: A Surveycited by 2
  7. 2022GDPR Compliant Collection of Therapist-Patient-Dialoguescited by 2
  8. 2023NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Mediacited by 2
  9. 2024Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challengescited by 1
  10. 2025P-ReMIS: Pragmatic Reasoning in Mental Health and a Social Implicationcited by 1
  11. 2025CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysiscited by 1
  12. 2022Affective Idiosyncratic Responses to Musiccited by 0
  13. 2022Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Mediacited by 0
  14. 2023Causal Categorization of Mental Health Posts using Transformerscited by 0
  15. 2025Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validationcited by 0
  16. 2026Structural Stress and Learned Helplessness in Afghanistan: A Multi-Layer Analysis of the AFSTRESS Dari Corpuscited by 0
  17. 2026Before the Labels: How Dataset Construction Shapes Suicidality Detection in Clinical Textcited by 0
  18. 2026RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotationscited by 0
  19. 2026Mental Health Disorder Detection Beyond Social Media: A Systematic Review of Available Datasetscited by 0
  20. 2026The Divergence Hypothesis: Unmasking Lexical Interference and Label Bias in Mental Health NLPcited by 0