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Measuring Post Traumatic Stress Disorder in Twitter
4 references·16 citing·51 second hopsampled
Measuring Post Traumatic Stress Disorder in Twitter (2014)Measuring Post Traumatic Stress Disorder …Predicting Depression via Social Media (2021)Predicting Depression via Soc…The Development and Psychometric Properties of LIWC2015 (2015)The Development and Psychomet…Predicting postpartum changes in emotion and behavior via social media (2013)Predicting postpartum changes…Social network determinants of depression (2010)Social network determinants o…Mental-LLM (2024)Mental-LLMLanguage left behind on social media exposes the emotional and cognitive costs of a romantic breakup (2021)Language left behind on socia…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…Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)Machine Learning-Based Approa…Application of Machine Learning Methods in Mental Health Detection: A Systematic Review (2020)Application of Machine Learni…Anxious Depression Prediction in Real-time Social Data (2019)Anxious Depression Prediction…Modeling Stress with Social Media Around Incidents of Gun Violence on College Campuses (2017)Modeling Stress with Social M…Gender and Cross-Cultural Differences in Social Media Disclosures of Mental Illness (2017)Gender and Cross-Cultural Dif…eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations (2017)eRISK 2017: CLEF Lab on Early…Detecting Stress Based on Social Interactions in Social Networks (2017)Detecting Stress Based on Soc…Detecting and Characterizing Eating-Disorder Communities on Social Media (2017)Detecting and Characterizing …Exploratory Analysis of Social Media Prior to a Suicide Attempt (2016)Exploratory Analysis of Socia…The role of personality, age, and gender in tweeting about mental illness (2015)The role of personality, age,…Quantifying the Language of Schizophrenia in Social Media (2015)Quantifying the Language of S…Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides (2015)Detecting Changes in Suicide …Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)The Psychological Functions of Function Words (2007)Social capital, self-esteem, and use of online social network sites: A longitudinal analysis (2008)Forecasting the onset and course of mental illness with Twitter data (2017)Depression detection from social network data using machine learning techniques (2018)Detection of Depression-Related Posts in Reddit Social Media Forum (2019)The CES-D Scale (1977)Measuring Health: A Guide to Rating Scales and Questionnaires (1987)Birds of a Feather: Homophily in Social Networks (2001)Cooperative behavior cascades in human social networks (2010)Social media as a measurement tool of depression in populations (2013)Social Networking Sites, Depression, and Anxiety: A Systematic Review (2016)Prevalence and Treatment of Mental Disorders, 1990 to 2003 (2005)Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (2013)Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week (2015)A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals (2017)Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media (2017)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Introduction to functional grammar . By M. A. K. Halliday London & Baltimore: Edward Arnold, 1985. Pp. xxxv, 387. (1989)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Filter Bubbles, Echo Chambers, and Online News Consumption (2016)Coping, stress, and social resources among adults with unipolar depression. (1984)The Epidemiology of Major Depressive Disorder (2003)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)Stigma: Notes on the Management of Spoiled Identity. (1964)Stigma: Notes on the Management of Spoiled Identity (1969)Illusion and well-being: A social psychological perspective on mental health. (1988)Linguistic Markers Indicating Therapeutic Outcomes of Social Media Disclosures of Schizophrenia (2017)Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis (2019)Using Social Media for Mental Health Surveillance (2020)Compliance, identification, and internalization three processes of attitude change (1958)The Strength of Weak Ties (1973)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Dreaddit: A Reddit Dataset for Stress Analysis in Social Media (2019)topicmodels : An R Package for Fitting Topic Models (2011)Automatic personality assessment through social media language. (2014)An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM (2022)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Users of the world, unite! The challenges and opportunities of Social Media (2009)Advance Machine Learning Methods for Dyslexia Biomarker Detection: A Review of Implementation Details and Challenges (2021)Applications of artificial intelligence−machine learning for detection of stress: a critical overview (2023)Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)The Lancet Commission on self-harm (2024)Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks (2025)The Applications of Large Language Models in Mental Health: Scoping Review (2025)
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References

  • 2015The Development and Psychometric Properties of LIWC20151,674 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2010Social network determinants of depression542 cited
  • 2013Predicting postpartum changes in emotion and behavior via social media461 cited

Cited by

  • 2024Mental-LLM277 cited
  • 2020Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features193 cited
  • 2017Detecting Stress Based on Social Interactions in Social Networks188 cited
  • 2020Application of Machine Learning Methods in Mental Health Detection: A Systematic Review179 cited
  • 2017Gender and Cross-Cultural Differences in Social Media Disclosures of Mental Illness178 cited
  • 2015Quantifying the Language of Schizophrenia in Social Media171 cited
  • 2017eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations163 cited
  • 2015The role of personality, age, and gender in tweeting about mental illness162 cited
  • 2016Exploratory Analysis of Social Media Prior to a Suicide Attempt154 cited
  • 2015Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides147 cited
  • 2017

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Modeling Stress with Social Media Around Incidents of Gun Violence on College Campuses
124 cited
  • 2021Automatic detection of depression symptoms in twitter using multimodal analysis122 cited
  • 2021Language left behind on social media exposes the emotional and cognitive costs of a romantic breakup120 cited
  • 2019Anxious Depression Prediction in Real-time Social Data120 cited
  • 2017Detecting and Characterizing Eating-Disorder Communities on Social Media114 cited
  • 2021Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study110 cited