/mental-health-datasets

An evolving list of electronic media data sets used to model mental-health status.

Primary LanguagePython

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