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The role of personality, age, and gender in tweeting about mental illness
16 references·16 citing·46 second hopsampled
The role of personality, age, and gender in tweeting about mental illness (2015)The role of personality, age, and gender …Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Automatic personality assessment through social media language. (2014)Automatic personality assessm…Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Personality, Gender, and Age …The secret life of pronouns (2011)The secret life of pronounsYou are where you tweet (2010)You are where you tweetAge differences in personality traits from 10 to 65: Big Five domains and facets in a large cross-sectional sample. (2010)Age differences in personalit…Diagnostic and Statistical Manual of Mental Disorders(DSM) (2008)Diagnostic and Statistical Ma…No health without mental health (2007)No health without mental heal…Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Projections of Global Mortali…Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Prevalence, Severity, and Com…Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Lifetime Prevalence and Age-o…Language use of depressed and depression-vulnerable college students (2004)Language use of depressed and…Global burden of depressive disorders in the year 2000 (2004)Global burden of depressive d…The epidemiology of major depressive episodes: results from the International Consortium of Psychiatric Epidemiology (ICPE) surveys (2003)The epidemiology of major dep…The Epidemiology of Major Depressive Disorder (2003)The Epidemiology of Major Dep…An Introduction to the Five‐Factor Model and Its Applications (1992)An Introduction to the Five‐F…Toward explainable AI (XAI) for mental health detection based on language behavior (2023)Toward explainable AI (XAI) f…Mental Health Analysis in Social Media Posts: A Survey (2023)Mental Health Analysis in Soc…Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study (2021)Monitoring Depression Trends …Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression (2021)Detecting Mental Disorders in…Multimodal mental health analysis in social media (2020)Multimodal mental health anal…Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention (2020)Hierarchical Modeling for Use…Understanding and Measuring Psychological Stress Using Social Media (2019)Understanding and Measuring P…Predicting future mental illness from social media: A big-data approach (2019)Predicting future mental illn…What about Mood Swings (2018)What about Mood SwingsSMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions (2018)SMHD: A Large-Scale Resource …Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP (2018)Detecting Linguistic Traces o…Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study (2017)Understanding Depressive Symp…Multi-Task Learning for Mental Health using Social Media Text (2017)Multi-Task Learning for Menta…Monitoring Tweets for Depression to Detect At-risk Users (2017)Monitoring Tweets for Depress…Using linguistic and topic analysis to classify sub-groups of online depression communities (2015)Using linguistic and topic an…Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week (2015)Personality Traits on Twitter…Modeling and Forecasting U. 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References

  • 2005Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication20,388 cited
  • 2005Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication12,050 cited
  • 2006Projections of Global Mortality and Burden of Disease from 2002 to 203011,372 cited
  • 2008Diagnostic and Statistical Manual of Mental Disorders(DSM)10,830 cited
  • 2003The Epidemiology of Major Depressive Disorder7,981 cited
  • 1992An Introduction to the Five‐Factor Model and Its Applications6,832 cited
  • 2007No health without mental health3,837 cited
  • 2004Global burden of depressive disorders in the year 20001,733 cited
  • 2013Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach1,700 cited
  • 2010Age differences in personality traits from 10 to 65: Big Five domains and facets in a large cross-sectional sample.1,204 cited
  • 2010You are where you tweet1,069 cited
  • 2003The epidemiology of major depressive episodes: results from the International Consortium of Psychiatric Epidemiology (ICPE) surveys1,068 cited
  • 2004Language use of depressed and depression-vulnerable college students1,018 cited
  • 2014Automatic personality assessment through social media language.802 cited

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  • 2011The secret life of pronouns780 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • Cited by

    • 2015Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week173 cited
    • 2019Understanding and Measuring Psychological Stress Using Social Media138 cited
    • 2023Mental Health Analysis in Social Media Posts: A Survey135 cited
    • 2020Multimodal mental health analysis in social media133 cited
    • 2019Predicting future mental illness from social media: A big-data approach119 cited
    • 2017Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study114 cited
    • 2018What about Mood Swings106 cited
    • 2023Toward explainable AI (XAI) for mental health detection based on language behavior106 cited
    • 2018SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions100 cited
    • 2021Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study97 cited
    • 2017Monitoring Tweets for Depression to Detect At-risk Users90 cited
    • 2017Multi-Task Learning for Mental Health using Social Media Text84 cited
    • 2020Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention78 cited
    • 2018Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP77 cited
    • 2015Using linguistic and topic analysis to classify sub-groups of online depression communities77 cited
    • 2021Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression72 cited