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A Test Collection for Research on Depression and Language Use
7 references·16 citing·49 second hopsampled
A Test Collection for Research on Depression and Language Use (2016)A Test Collection for Research on Depress…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Detecting suicidality on Twitter (2015)Detecting suicidality on Twit…CLPsych 2015 Shared Task: Depression and PTSD on Twitter (2015)CLPsych 2015 Shared Task: Dep…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Social media as a measurement tool of depression in populations (2013)Social media as a measurement…Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)Psychological Aspects of Natu…Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Machine Learning for Multimod…An attention-based CNN-BiLSTM model for depression detection on social media text (2024)An attention-based CNN-BiLSTM…MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare (2022)MentalBERT: Publicly Availabl…Ensemble Hybrid Learning Methods for Automated Depression Detection (2022)Ensemble Hybrid Learning Meth…Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification (2022)Early Identification of Depre…Automatic detection of depression symptoms in twitter using multimodal analysis (2021)Automatic detection of depres…Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study (2021)Analysis of Deep Learning Tec…Early Depression Detection from Social Network Using Deep Learning Techniques (2020)Early Depression Detection fr…Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis (2020)Detection of Suicidal Ideatio…Overview of eRisk 2019 Early Risk Prediction on the Internet (2019)Overview of eRisk 2019 Early …Multitask Representation Learning for Multimodal Estimation of Depression Level (2019)Multitask Representation Lear…Early Detection of Depression: Social Network Analysis and Random Forest Techniques (2019)Early Detection of Depression…A text classification framework for simple and effective early depression detection over social media streams (2019)A text classification framewo…Overview of eRisk: Early Risk Prediction on the Internet (2018)Overview of eRisk: Early Risk…Measuring the Latency of Depression Detection in Social Media (2018)Measuring the Latency of Depr…eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations (2017)eRISK 2017: CLEF Lab on Early…Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)The WPA- Lancet Psychiatry Commission on the Future of Psychiatry (2017)Facebook language predicts depression in medical records (2018)Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)The Principles of Psychology (1891)The Presentation of Self in Everyday Life. (1956)Linguistic Inquiry and Word Count (LIWC) (2012)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)The Development and Psychometric Properties of LIWC2015 (2015)The Presentation of Self in Everyday Life (2023)The CES-D Scale (1977)The Epidemiology of Major Depressive Disorder (2003)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Internet Research in Psychology (2014)Psychological Language on Twitter Predicts County-Level Heart Disease Mortality (2015)Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016)Reducing Suicide--A National Imperative (2002)The Columbia–Suicide Severity Rating Scale: Initial Validity and Internal Consistency Findings From Three Multisite Studies With Adolescents and Adults (2011)Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial (2012)Natural language processing in mental health applications using non-clinical texts (2017)Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)From social integration to health: Durkheim in the new millennium (2000)The world health report 2001 - Mental health: new understanding, new hope (2001)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Detecting depression and mental illness on social media: an integrative review (2017)Language use of depressed and depression-vulnerable college students (2004)Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Mental-LLM (2024)Coping, stress, and social resources among adults with unipolar depression. (1984)Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions (2020)Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020)The Application of Electronic Computers to Factor Analysis (1960)Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study (2020)Individuals with depression express more distorted thinking on social media (2021)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Human behavior and the principle of least effort (1949)Diagnostic and Statistical Manual of Mental Disorders(DSM) (2008)Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review (2021)Mental Health Analysis in Social Media Posts: A Survey (2023)Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Detection of Depression-Related Posts in Reddit Social Media Forum (2019)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media (2023)Toward explainable AI (XAI) for mental health detection based on language behavior (2023)Towards Interpretable Mental Health Analysis with Large Language Models (2023)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2002Psychological Aspects of Natural Language Use: Our Words, Our Selves2,616 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2013Social media as a measurement tool of depression in populations497 cited
  • 2015Detecting suicidality on Twitter439 cited
  • 2015CLPsych 2015 Shared Task: Depression and PTSD on Twitter329 cited

Cited by

  • 2022MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare231 cited
  • 2019A text classification framework for simple and effective early depression detection over social media streams216 cited
  • 2019Early Detection of Depression: Social Network Analysis and Random Forest Techniques206 cited
  • 2018Overview of eRisk: Early Risk Prediction on the Internet194 cited
  • 2017eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations163 cited
  • 2024Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches153 cited
  • 2018Measuring the Latency of Depression Detection in Social Media127 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022Ensemble Hybrid Learning Methods for Automated Depression Detection125 cited
  • 2021Automatic detection of depression symptoms in twitter using multimodal analysis122 cited
  • 2024An attention-based CNN-BiLSTM model for depression detection on social media text120 cited
  • 2019Overview of eRisk 2019 Early Risk Prediction on the Internet118 cited
  • 2019Multitask Representation Learning for Multimodal Estimation of Depression Level115 cited
  • 2020Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis110 cited
  • 2021Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study110 cited
  • 2020Early Depression Detection from Social Network Using Deep Learning Techniques104 cited
  • 2022Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification104 cited