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Annotator (Date)Annotation DatePaper Title
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Keith H.6/18/2021A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
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A Computational Linguistic Study of Personal Recovery in Bipolar Disorder
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A Corpus Linguistic Analysis of Public Reddit Blog Posts on Non-Suicidal Self-Injury
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Adapting Coreference Resolution for Processing Violent Death Narratives
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Adapting Deep Learning Methods for Mental Health Prediction on Social Media
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Affective Behavior Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?
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ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
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Analyzing big data in social media: Text and network analyses of an eating disorder forum
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Analyzing Machine Learning Models that Predict Mental Illnesses from Social Media Text
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An analysis of stigma and suicide literacy in responses to suicides broadcast on social media
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An emotion and cognitive based analysis of mental health disorders from social media
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A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media
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A novel surveillance approach for disaster mental health
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A Prioritization Model for Suicidality Risk Assessment
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A Social Media Based Examination of the Effects of Counseling Recommendations after Student Deaths on College Campuses
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A Social Media Study on Mental Health Status Transitions Surrounding Psychiatric Hospitalizations
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A Social Media Study on the Effects of Psychiatric Medication Use
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Assessing mental health signals among sexual and gender minorities using Twitter data
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Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data
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Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study
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Assessment of the Mental Health Status of Social Media Users during the Outbreak of COVID-19
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A text classification framework for simple and effective early depression detection over social media streams
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Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
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Automatic Detection and Prediction and Psychiatric Hospitalizations From Social Media Posts
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Being (In)Visible: Privacy, Transparency, and Disclosure in the Self-Management of Bipolar Disorder
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Benefits and Challenges for Social Media Users on the Autism Spectrum
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BLISS: An Agent for Collecting Spoken Dialogue data about Health and Well-being
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Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
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"Can I Not Be Suicidal on a Sunday?": Understanding Technology-Mediated Pathways to Mental Health Support
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Can language use in social media help in the treatment of severe mental illness?
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Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation?
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Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
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Capturing social media expressions during the COVID-19 pandemic in Argentina and forecasting mental health and emotions
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Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
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CEASE, a Corpus of Emotion Annotated Suicide notes in English
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Characterizing Anxiety Disorders with Online Social and Interactional Networks
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Characterizing Audience Engagement and Assessing Its Impact on Social Media Disclosures of Mental Illnesses
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Characterizing Depression Issues on Sina Weibo
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#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation
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Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study
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Classification of mental illnesses on social media using RoBERTa
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Cluster analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations
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Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task
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Comparing Suicide Risk Insights derived from Clinical and Social Media data
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Conversational topics of social media messages associated with state-level mental distress rates
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COVID-19: Detecting Depression Signals during Stay-At-Home Period
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COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
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Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy
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Demonstrating the Reliability of Self-Annotated Emotion Data
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Depressed individuals express more distorted thinking on social media
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Depression Intensity Estimation via Social Media: A Deep Learning Approach
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DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media
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Depression presentations, stigma, and mental health literacy: A critical review and YouTube content analysis
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Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
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Designing Mental Health Technologies that support the Social Ecosystem of College Students
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Designing Microblog Direct Messages to Engage Social Media Users With Suicide Ideation: Interview and Survey Study on Weibo
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Detecting and Characterizing Eating-Disorder Communities on Social Media
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Detecting and Characterizing Trends in Online Mental Health Discussions
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Detecting Cognitive Distortions from Patient-Therapist Interactions
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Detecting Community Depression Dynmaics Due to COVID-19 Pandemic in Australia
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Detecting depression stigma on social media: A linguistic analysis
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Detecting Early Onset of Depression from Social Media Text using Learning Confidence Scores
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Detecting Individuals with Depressive Disorder from Personal Google Search and YouTube History Logs
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Detecting Mental Disorders in Social Media Through Emotional Patterns -- The case of Anorexia and Depression
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Detection and Classification of mental illnesses on social media using RoBERTa
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Detection of Depression-Related Posts in Reddit Social Media Forum
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Detection of Mental Illness Risk on Social Media through Multi-level SVMs
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Development of a Corpus Annotated with Medications and their Attributes in Psychiatric Health Records
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Development of a Japanese Personality Dictionary based on Psychological Methods
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Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities
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Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models
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Emotion-Infused Models for Explainable Psychological Stress Detection
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Emotional and Linguistic Cues of Depression from Social Media
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EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction
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Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
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Engagement Patters of Peer-to-Peer Interactions on Mental Health Platforms
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eRisk 2020: Self-harm and Depression Challenges
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Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic
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Evaluating the predictability of medical conditions from social media posts
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Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach
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Examing the scope and patterns of deliberate self-injurious cutting content in popular social media
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Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data
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Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community
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Extracting psychiatric stressors for suicide from social media using deep learning
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Facebook Social Media for Depression Detection in the Thai Community
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Feature Engineering for Depression Detection in Social Media
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Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health
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Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
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Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
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Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities
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Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning
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Hebrew Psychological Lexicons
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How do you #relax when you're #stressed? A content analysis and infodemiology study of stress-related tweets
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How User Condition Affects Community Dynamics in a Forum on Autism
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Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
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Identifying emerging mental illness utilizing search engine activity: A feasibility study
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Identifying Medical Self-Disclosure in Online Communities
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Identifying Psychotic Symptoms and Predicting Relapse Through Social Media
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Identifying substance use risk based on deep neural networks and Instagram social media data