Mental Health Datasets

The information below is an evolving list of data sets (primarily from electronic/social media) that have been used to model mental-health phenomena. The raw data (with additional columns) can be found in data_sources.xlsx. If you are an author of any of these papers and feel that anything is misrepresented, please do not hesitate to reach out to me at kharrigian@jhu.edu.

For an overview of existing datasets, please consider reading our paper On the State of Social Media Data for Mental Health Research.

@inproceedings{harrigian2020state,
  title={On the State of Social Media Data for Mental Health Research},
  author={Harrigian, Keith and Aguirre, Carlos and Dredze, Mark},
  booktitle={Proceedings of the 7th Workshop on Computational Linguistics and Clinical Psychology: Improving Access},
  year={2021}
}

Contributing

We hope this repository becomes the central knowledge base for researchers working at the intersection of NLP and mental health. However, we cannot achieve this goal without the support of the community.

You can view our backlog of literature that needs annotation here. To annotate one of these papers, or to annotate a paper we haven't yet identified, please begin by updating the backlog to note that you are taking responsibility for a paper's annotation. After, you can use our standardized annotation form to make a submission that will be reviewed and published within the main directory.

Dataset Directory

Last Update: 2021-06-18T16:34:43.198413

Paper	Authors	Platform	Year	Target Outcomes
Inferring Social Media Users' Mental Health Status from Multimodal Information	Xu, Pérez-Rosas, Mihalcea	Flickr	2020	Mental Health (General)
Dilated LSTM with attention for Classification of Suicide Notes	Schoene, Lacy, Turner, Dethlefs	Death Row Last Statements, The Kernel, Tumblr	2019	Suicide, Imminent Death, Depression, Loneliness
Detection of Depression-related Posts in Reddit Social Media Forum	Tadesse, Lin, Xu, Yang	Reddit, Online Support Forums	2019	Depression
Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles from a pilot program at Crisis Text Line	Pisani, Kanuri, Filbin, Gallo, Gould, Lehmann, Levine, Marcotte, Pascal, Rousseau, Turner, Yen, Ranney	Crisis Text Line	2019	None
Mental Health Surveillance over Social Media with Digital Cohorts	Amir, Dredze, Ayers	Twitter	2019	Depression, PTSD, Control
CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts	Zirikly, Resnik, Uzuner, Hollingshead	Reddit	2019	Suicidal Ideation
Can acute suicidality be predicted by Instagram data? Results from qualitative and quantitative language analyses	Brown, Bendig, Fischer, Goldwich, Baumeister, Plener	Instagram	2019	Non-suicidal Self-Injury
Methodological Gaps in Predicting Mental Health States from Social Media: Triangulating Diagnostic Signals	Ernala, Birnbaum, Candan, Rizvi, Sterling, Kane, De Choudury	Twitter, Facebook	2019	Schizophrenia
Suicide Risk Assessment with Multi-level Dual-Context Language and BERT	Matero, Idnani, Son, Giorgi, Vu, Zamani, Limbachiya, Guntuku, Schwartz	Reddit	2019	Suicidal Ideation
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention	Cao, Zhang, Feng, Wei, Wang, Li, He	Sina Weibo	2019	Suicidal Ideation
Automatic detection of eating disorder-related social media posts that could benefit from a mental health intervention	Yan, Fitzsimmons-Craft, Goodman, Krauss, Das, Cavazos-Rehg	Reddit	2019	Eating Disorder
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media	Turcan, McKeown	Reddit	2019	Stress
Detecting Low Self-Esteem in Youths from Web Search Data	Zaman, Acharyya, Kautz, Silenzio	Google Search	2019	Self-esteem
BioInfo@UAVR at eRisk 2019: delving into social media texts for the early detection of mental and food disorders	Trifan, Luís Oliveira	Reddit	2019	Anorexia, Depression
Towards Augmenting Crisis Counselor Training by Improving Message Retrieval	DeMasi, Hearst, Recht	Synthetic Crisis Text Conversations	2019	None (Message Retrieval Task)
Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text	Kirinde Gamaarachichige, Inkpen	Twitter	2019	Depression, PTSD, Control
Adapting Deep Learning Methods for Mental Health Prediction on Social Media	Sekulic, Strube	Reddit	2019	Depression
User Dynamics in Mental Health Forums -- A Sentiment Analysis Perspective	Davcheva, Adam, Benlian	3 Online mental-health forums	2019	Sentiment
Quick and (maybe not so) Easy Detection of Anorexia in Social Media Posts	Mohammadi, Amini, Kosseim	Reddit	2019	Anorexia
Using Topic Modeling to Detect and Describe Self-Injurious and Related Content on a Large- Scale Digital Platform	Franz, Nook, Mair, Nock	TeenHelp.org (Forum)	2019	Self-harm
A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing	Singh, Du, Zhang, Wang, Miao, Sianaki, Ulhaq	Twitter	2019	Antisocial Behavior
The Role of Features and Context on Suicide Ideation Detection	Wang, Wan, Paris	Twitter	2019	Suicidal Ideation
Identifying Depressive Users in Twitter Using Multimodal Analysis	Kang, Yoon, Yi Kim	Twitter	2019	Depression
Facebook language predicts depression in medical records	Eichstaedt, Smith, Merchant, Ungar, Crutchley, Pretoiuc-Pietro, Asch, Schwartz	Facebook	2018	Depression
A multilevel predictive model for detecting social network users with depression	Wongkoblap, Vadillo, Curcin	Facebook	2018	Life Satisfaction, Depression
Deep Learning for Depression Detection of Twitter Users	Husseini Orabi, Buddhitha, Husseini Orabi, Inkpen	Twitter	2018	Depression
Suicidal Trend Analysis of Twitter using Machine Learning and Neural Network	Shahreen, Subhani, Mahfuzur Rahman	Twitter	2018	Suicidal Ideation
Attention-based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision	Winata, Pepijin Kampman, Fung	Twitter, Interview	2018	Stress
Exploring the utility of community-generated social media content for detecting depression: an analytical study on Instagram	Ricard, Marsch, Crosier, Hassanpour	Instagram	2018	Depression
Helping or hurting? predicting changes in users’ risk of self-harm through online community interactions	Soldaini, Walsh, Cohan, Han, Goharian	ReachOut (Online Forum)	2018	Change in Distress (Self-harm/Suicidal Ideation)
Identifying depression on reddit: The effect of training data	Pirina, I. & Çöltekin, Ç	Reddit, Online Support Forums	2018	Depression, Breast Cancer Support, Familiar Support, Relationship Support
Detecting suicidal ideation on forums: proof-of-concept study	Aladağ, Murderrisoglu, Akbas, Zahmacioglu, Bingol	Reddit	2018	Suicidal Ideation
Norms matter: contrasting social support around behavior change in online weight loss communities	Chancellor, Hu, De Choudhury	Reddit	2018	Weight loss support vs. Eating-disorder encouragement
Measuring the impact of anxiety on online social interactions	Dutta, Ma, De Choudhury	Twitter	2018	Change in social interaction based on inferred anxiety
Within and between-person differences in language used across anxiety support and neutral reddit communities	Ireland, Iserman	Reddit	2018	Anxiety
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health	Ive, Gkotis, Dutta, Stewart, Velupillai	Reddit	2018	Borderline Personality Disorder, Bipolar Disorder, Schizophrenia, Anxiety, Depression, Self-harm, Suicidality, Addiction, Alcoholism, Opiates, Autism, and Control
Measuring the latency of depression detection in social media.	Sadeque, Xu, Bethard	Reddit	2018	Depression
Cross-domain depression detection via harvesting social media	Shen, Jia, Shen Feng, He, Luan, Tang, Tiropanis, Chua, Hall	Twitter, Weibo	2018	Depression
Predicting depression from language-based emotion dynamics: longitudinal analysis of Facebook and twitter status updates	Seabrook, Kern, Fulcher, Rickard	Facebook, Twitter	2018	Depression
Accommodating Grief on Twitter: An Analysis of Expressions of Grief Among Gang Involved Youth on Twitter Using Qualitative Analysis and Natural Language Processing	Upton Patton, MacBeth, Schoenebeck, Shear, McKeown	Twitter	2018	Grief, Aggression
Automatic detection of cyberbullying in social media text	Van Hee, Jacobs, Emmery, Desmet, Lefever, Verhoeven, De Pauw, Daelemans, Hoste	AskFM	2018	Cyberbullying
Benchmarking Aggression Identification in Social Media	Kumar, Ojha, Malmasi, Zampieri	Facebook, Twitter	2018	Aggression
Natural Language Processing of Social Media as Screening for Suicide Risk	Coppersmith	Twitter	2018	Suicide Attempt
Not Just Depressed: Bipolar Disorder Prediction on Reddit	Sekulic ́, Gjurković, Šnajder	Reddit	2018	Bipolar Disorder
Predictive linguistic features of schizophrenia	Sarioglu Kayi, Diab, Pauselli, Compton, Coppersmith	Twitter, Essays	2018	Schizophrenia
"Let Me Tell You About Your Mental Health!" Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention	Gaur, Kursuncu, Alambo, Sheth, Daniulaityle, Thirunaryan, Pathak	Reddit	2018	Anxiety, Borderline Personality, Bipolar, Opiate Addiction, Self Hard, Addiction, Asperger's, Autism, Alcoholism, Opiate Usage, Schizophrenia, Self-hard, Suicidal Ideation
Feature Attention Network: Interpretable Depression Detection from Social Media	Song, You, Chunk, Park	Reddit	2018	Depression
Overview of eRisk: Early Risk Prediction on the Internet	Losada, Crestani, Parapar	Reddit	2018	Depression, Anorexia
Text-based Detection and Understanding of Changes in Mental Health	Li, Mihalcea, Wilson	Reddit	2018	Change in Mental Health Disorder Communication
Can Text Messages Identify Suicide Risk in Real Time? A within-subjects pilot examination of temporally sensitive markers of suicide risk	Glenn, Nobles, Barners, Teachman	SMS	2018	Periods of Suicide Attempts, Suicidal Ideation, Depressive Episodes, Positive Mood
Detecting Linguistic Traces of Depression Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP	Wolohan, Hirgaga, Mukerjee, Sayyed	Reddit	2018	Depression
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses	MacAvaney, Desmet, Cohan, Soldaini, Yates, Zirikly, Goharian	Reddit	2018	Depression Diagnosis Date
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions	Cohan, Desmet, Yates, Soldaini, MacAvaney, Goharian	Reddit	2018	ADHD, Anxiety, Autism, Bipolar Disorder, Depression, Eating Disorder, Obsessive Compulsive Disorder, PTSD, Schizophrenia
Cross-cultural differences in language markers of depression online	Loveys, Torrez, Fine, Moriarty, Coppersmith	7 Cups of Tea (Chat-based peer support platform)	2018	None
Detecting Comments Showing Risk for Suicide in YouTube	Gao, Cheng, Yu	YouTube	2018	Suicidal Ideation
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings	Shing, Nair, Zirikly, Friedenberg, Daumé III, Resnik	Reddit	2018	Suicidal Ideation
Identification of Imminent Suicide Risk Among Young Adults using Text Messages	Nobles, Glenn, Kowsari, Teachman, Barnes	SMS, emails, and call history, social media data (i.e., Twitter and Facebook), web browsing history	2018	Suicidal Ideation
#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter	Lachmar, Wittenborn, Bogen, McCauley	Twitter	2017	Depression
Multi-Task Learning for Mental Health using Social Media Text	Benton, Mitchell, Hovy	Twitter	2017	Neuroatypicality, Suicide Attempt, Anxiety, Depression, Eating Disorder, Panic Attacks, Schizophrenia, Bipolar Disorder, PTSD
Modeling Stress with Social Media Around Incidents of Gun Violence on College Campuses	Saha, De Choudhury	Reddit	2017	Stress
Detecting anxiety on Reddit	Hanwen Shen, Rudzicz	Reddit	2017	Anxiety
Assessing suicide risk and emotional distress in Chinese social media: a text mining and machine learning study	Cheng, Li, Kwok, Zhu, Yip	Sina Weibo	2017	Suicidal Ideation, Depression, Anxiety, and Stress
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk	De Choudury, Kiciman	Reddit	2017	Suicidal Ideation
Detection of Suicide-Related Posts in Twitter Data Streams	Vioulès, Moulahi, Azé, Bringay	Twitter	2017	Suicidal Ideation
Characterization of mental health conditions in social media using Informed Deep Learning	Gkotsis, Oellrich, Velupillai, Liakata, Hubbard, Dobson, Dutta	Reddit	2017	Borderline Personality Disorder, Bipolar Disorder, Schizophrenia, Anxiety, Depression, Self-harm, Suicidality, Addiction, Alcoholism, Opiates, Autism, and Control
Detecting cognitive distortions through machine learning text analytics	Simms, Ramstedt, Rich, Richards, Martinez, Giraud-Carrier	Tumblr	2017	Cognitive Distortion
A collaborative approach to identifying social media markers of schizophrenia by employing machine learning and clinical appraisals	Birnbaum, Kiranmai Ernala, Rizvi, De Choudhury, Kane	Twitter	2017	Schizophrenia
Social Media Based Index of Mental Well-Being in College Campuses	Bagroy, Kumaraguru, De Choudhury	Reddit	2017	14 mental-health related subreddits + small set of control subreddits (e.g. r/AskReddit)
Understanding and Discovering Deliberate Self-harm Content in Social Media	Wang, Tang, Li, Li, Wan, Mellina, O'Hare, Chang	Flickr	2017	Self-harm
Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language	Loveys, Crutchley, Wyatt, Coppersmith	Twitter	2017	Suicide Attempt, Schizophrenia, Panic, Eating, Anxiety
Detecting and Characterizing Eating-Disorder Communities on Social Media	Wang, Brede, Ianni, Mentzakis	Twitter	2017	Eating Disorder
Emotional and Linguistic Cues of Depression from Social Media	Vedula, Parthasarathy	Twitter	2017	Depression
Depression detection via harvesting social media: A multimodal dictionary learning solution	Shen, Jia, Feng, Zhang, Hu, Chua, Zhu	Twitter	2017	Depression
Identifying Depression on Twitter	Nadeem, Horn, Coppersmith, Sen	Twitter	2017	Depression, PTSD, Control
Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments	Saha, Chan, Barbaro, Abowd, De Choudhury	Twitter, Facebook, Ecological Momentary Assessments	2017	Mood Instability, Bipolar Disorder, Borderline Personality Disorder
Depression and Self-Harm Risk Assessment in Online Forums	Yates, Cohan, Goharian	Reddit	2017	Depression
Monitoring Tweets for Depression to Detect At-risk Users	Jamil	Twitter	2017	Depression
Gender and Cross-Cultural Differences in Social Media Disclosures of Mental Illness	De Choudury, Sharma, Logar, Eekhout, Cluasen Nielsen	Twitter	2017	Suicidal Ideation
Quantifying Mental Health from Social Media with Neural User Embeddings	Amir, Coppersmith, Carvalho, Silva, Wallace	Twitter	2017	Depression, PTSD, Control
Learning from various labeling strategies for suicide-related messages on social media: An experimental study	Liu, Chen, Homan, Silenzio	Twitter	2017	Suicidal Risk
Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study	Mowery, Smith, Cheney, Stoddard, Coppersmith, Bryan, Conway	Twitter	2017	Depression (Symptoms)
Content Analysis of Depression-Related Tweets	Cavazos-Reh, Krauss, Sowles, Connolly, Rosasa, Bharadwaj, Bierut	Twitter	2017	Feelings of Depression, Support for Depression, School or Work-related Pressures related to Depression, Substance use to deal with depression, self-hard or suicidal thoughts
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media	Hossein Yazdavar, Al-Olimat, Ebrahimi, Bajaj, Banerjee, Thirunarayan, Pathak, Sheth	Twitter	2017	Depression
Instagram photos reveal predictive markers of depression	Reece, Danforth	Instagram	2017	Depression
Predicting Multiple Risky Behaviors via Multimedia Content	Zhou, Zhang, Luo	Instagram	2017	Depression, Drug Use, Alcohol Use, Sleep Disorder, Eating Disorder
Triaging content severity in online mental health forums	Cohan, Young, Yates, Goharian	ReachOut (Online Forum)	2017	Self-harm/Suicidal Ideation
eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundation	Losada, Crestani, Parapar	Reddit	2017	Depression
Validating machine learning algorithms for twitter data against established measures of suicidality	Braithwaite, Giraud-Carrier, West, Barnes, Lee Hanson	Twitter	2016	Suicidality
Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities	Chancellor, Lin, Goodman, Zerwas, De Choudhury	Instagram	2016	Eating Disorder
What does social media say about your stress?	Lin, Jia, Nie, Shen, Chua	Sina Weibo	2016	Stress, Stress (Stressor and Stress Subject)
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations	Althoff, Clark, Leskovec	Crisis Text Line	2016	Counseling Outcome
MIDAS: Mental illness detection and analysis via social media	Saravia, Chang, Jollet De Lorenzo, Chen	Twitter	2016	Borderline Personality Disorder, Bipolar Disorder
Discovering shifts to suicidal ideation from mental health content in social media	De Choudhury, Kiciman, Dredze, Coppersmith, Kumar	Reddit	2016	Depression, Mental Health (General), Trauma, Bipolar, Borderline Personality, PTSD, Psychosis, Eating Disorders, Self Harm, Rape Survivors, Panic, Social Anxiety, Suicidal Ideation
Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health	Mowery, Park, Conway, Bryan	Twitter	2016	Depressive Symptoms and Stressors Associated with Depression
Recovery Amid Pro-Anorexia: Analysis of Recovery in Social Media	Chancellor, Mitra, De Choudhury	Tumblr	2016	Anorexia (Recovery)
The language of mental health problems in social media	Gkotis, Oellrich, Hubbard, Dobson, Liakata, Velupillai, Dutta	Reddit	2016	Anxiety, Borderline Personality, Bipolar, Opiate Addiction, Self Hard, Addiction, Asperger's, Autism, Alcoholism, Opiate Usage, Schizophrenia, Self-hard, Suicidal Ideation
Exploratory Analysis of Social Media Prior to a Suicide Attempt	Coppersmith, Ngo, Leary, Wood	Twitter	2016	Suicide Attempt
CLPsych 2016 Shared Task: Triaging Content in Online Peer Support Forums	Milne, Pink, Hachey, Calvo	ReachOut (Online Forum)	2016	Self-harm
Forecasting the Onset and Course of Mental Illness with Twitter Data	Reece, Reagan, Lix, Dodds, Danforth, Langer	Twitter	2016	Depression, PTSD
The role of personality, age, and gender in tweeting about mental illnesses	Preotiuc-Pietro, Eichstaedt, Park, Sap, Smith, Toblosky, Schwartz, Ungar	Twitter	2015	Depression, PTSD
From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses	Coppersmith, Dredze, Harman, Hollingshead	Twitter	2015	ADHD, Anxiety, Bipolar Disorder, Borderline Personality Disorder, Depression, Eating, OCD, PTSD, Schizophrenia, Seasonal Affective Disorder
Recognizing Depression From Twitter Activity	Tsugawa, Kikuchi, Kishino, Nakajimi, Itoh, Ohsaki	Twitter	2015	Depression
Detecting Suicidality on Twitter	O'Dea, Wan, Batterham, Calear, Paris, Christensen	Twitter	2015	Suicidal Ideation
CLPsych 2015 Shared Task: Depression and PTSD on Twitter	Coppersmith, Dredze, Harman, Hollingshead, Mitchell	Twitter	2015	Depression, PTSD, Control
Beyond LDA: exploring supervised topic modeling for depression-related language in Twitter	Resnik, Armstrong, Claudino, Nguyen, Nguyen, Boyd-Graber	Twitter, Essays	2015	Depression
Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data	Mowery, Bryan, Conway	Twitter	2015	Major Depressive Disorder
Topic Model for Identifying Suicidal Ideation in Chinese Microblog	Huang, Li, Zhang, Liu, Chiu, Zhu	Sina Weibo	2015	Suicidal Ideation
Mixed-Initiative Real-Time Topic Modeling & Visualization for Crisis Counseling	Dinakar, Chen, Lieverman, Picard, Fill-in	Crisis Text Line	2015	None
Teenagers’ stress detection based on time-sensitive microblog comment/response actions	Zhao, Jia, Feng	Tencent Weibo	2015	Stress
Anorexia on Tumblr: A Characterization Study on Anorexia	De Choudhury	Tumblr	2015	Anorexia (Recovery), Anorexia
Machine Classification and analysis of suicide-related communication on Twitter	Burnap, Colombo, Scourfield	Twitter	2015	Suicidal Ideation
Understanding and Fighting Bullying with Machine Learning	Junming Sui	Twitter	2015	Cyberbullying
Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides	Kumar, Dredze, Coppersmith, De Choudury	Reddit, Wikipedia	2015	Suicidal Ideation
Mining Twitter data to improve detection of schizophrenia	McManus, Mallory, Goldfelder, Haynes, Tatum	Twitter	2015	Schizophrenia
Quantifying the language of schizophrenia in social media	Mitchell, Hollingshead, Coppersmith	Twitter	2015	Schizophrenia
Identifying Chinese Microblog Users with High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model	Guan, Hao, Cheng, Yip, Zhu	Sina Weibo	2015	Suicidal Ideation
User-level psychological stress detection from social media using deep neural network	Lin, Jia, Guo, Xue, Li, Huang, Cai, Feng	Sina Weibo, Tencent Weibo, Twitter	2014	Stress
Tracking Suicide Risk Factors Through Twitter in the US	Jashinky, Burton, Hanson, West, Giraud-Carrier, Barnes, Argyle	Twitter	2014	Suicidal Ideation
Towards Assessing Changes in Degree of Depression through Facebook	Schwartz, Eichstaedt, Kern, Park, Sap, Stillwell, Kosinski, Ungar	Facebook	2014	Continuous Depression Score
Quantifying Mental Health Signals in Twitter	Coppersmith, Dredze, Harman	Twitter	2014	Bipolar Disorder, Depression, PTSD, Seasonal Affective Disorder (SAD)
Characterizing and Predicting Postpartum Depression from Shared Facebook Data	De Choudhury, Counts, Horvitz, Hoff	Facebook	2014	Post Partum Depression
Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users	Zhang, Huang, Liu, Chen, Zhu	Sina Weibo	2014	Suicidal Ideation
Measuring post traumatic stress disorder in Twitter	Coppersmith, Harman, Dredze	Twitter	2014	PTSD
Psychological stress detection from cross-media microblog data using deep sparse neural network	Lin, Jia, Guo, Xue, Li, Huang, Cai, Feng	Sina Weibo	2014	Stress
Twitter: a good place to detect health conditions	Prieto, Matos, Alvarez, Cacheda, Oliveira	Twitter	2014	Depression, Eating Disorders
Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons	Huang, Zhang, Liu, Chiu, Li, Zhu	Sina Weibo	2014	Suicidal Ideation
Toward Macro-Insights for Suicide Prevention: Analyzing Fine-Grained Distress at Scale	Homan, Johar, Liu, Lytle, Silenzio, Alm	Twitter	2014	Distress Level
Affective and content analysis of online depression communities	Nguyen, Phung, Dao, Venkatesh, Berk	LiveJournal	2014	Depression, Self-Harm, Suicide, Bipolar Disorder, Grief
Defining patients with depressive disorder by using textual information	Nakamura, Kubo, Usuda, Aramaki	TOBYO Toshoshitsu (Disease Survivor Blogs)	2014	Depression
A depression detection model based on sentiment analysis in micro-blog social network	Wang, Zhang, Ji, Sun, Wu, Bao	Sina Weibo	2013	Depression
Activities on Facebook Reveal the Depressive State of Users	Park, Lee, Kwak, Cha, Jeong	Facebook	2013	Depression
An improved model for depression detecting in micro-blog social network	Wang, Zhang, Sun	Sina Weibo	2013	Depression
Perception Differences between the Depressed and Non-Depressed Users in Twitter	Park, McDonald, Cha	Twitter	2013	Depression
Predicting Depression via Social Media	De Choudhury, Gamon, Counts, Horvitz	Twitter	2013	Depression
Social Media As a Measurement Tool of Depression in Populations	De Choudhury, Counts, Horvitz	Twitter	2013	Depression
Suicide Ideation of Individuals in Online Social Networks	Masuda, Kurahashi, Onari	Mixi	2013	Suicidal Ideation
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression	Shen, Kuo, Chen, Lin	PTT (Bulletin Board System)	2013	Depression
On estimating depressive tendency of twitter users from their tweet data	Tsugawa, Mogi, Kikuchi, Kishino, Fujita, Itoh, Ohsaki	Twitter	2013	Depression
Predicting postpartum changes in emotion and behavior via social media	De Choudhury, Counts, Horvitz	Twitter	2013	Behavioral Change for New Mothers (re: Postpartum Depression
Depressive Moods of Users Portrayed in Twitter	Park, Cha, Cha	Twitter	2012	Depression, Control