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Predicting future mental illness from social media: A big-data approach
16 references·9 citing·46 second hop
Predicting future mental illness from social media: A big-data approach (2019)Predicting future mental illness from soc…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Digital Phenotyping (2017)Digital PhenotypingDetecting depression and mental illness on social media: an integrative review (2017)Detecting depression and ment…Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Discovering Shifts to Suicida…The Development and Psychometric Properties of LIWC2015 (2015)The Development and Psychomet…Computer-based personality judgments are more accurate than those made by humans (2015)Computer-based personality ju…Diagnostic and Statistical Manual of Mental Disorders, 5th ed. (2014)Diagnostic and Statistical Ma…Private traits and attributes are predictable from digital records of human behavior (2013)Private traits and attributes…Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Ma…Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? (2012)Why has it taken so long for …A 61-million-person experiment in social influence and political mobilization (2012)A 61-million-person experimen…Language use of depressed and depression-vulnerable college students (2004)Language use of depressed and…Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)Psychological Aspects of Natu…Linguistic styles: Language use as an individual difference. (1999)Linguistic styles: Language u…Handbook of Language and Social Psychology (1992)Handbook of Language and Soci…Diathesis-stress theories in the context of life stress research: Implications for the depressive disorders. (1991)Diathesis-stress theories in …Digital mental health needs a purpose-driven approach (2026)Digital mental health needs a…Detection of Depression Severity in Social Media Text Using Transformer-Based Models (2025)Detection of Depression Sever…A taxonomy and survey of big data in social media (2023)A taxonomy and survey of big …Social big data applications and challenges (2022)Social big data applications …Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review (2021)Studies of Depression and Anx…Schizophrenia Detection Using Machine Learning Approach from Social Media Content (2021)Schizophrenia Detection Using…Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours (2020)Social media analytics in nut…A big data analytics framework for detecting user-level depression from social networks (2020)A big data analytics framewor…A Novel Co-Training-Based Approach for the Classification of Mental Illnesses Using Social Media Posts (2019)A Novel Co-Training-Based App…Modern factor analysis (1960)Conceiving the self (1979)Development and validation of brief measures of positive and negative affect: The PANAS scales. 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References

  • 2013Diagnostic and Statistical Manual of Mental Disorders116,254 cited
  • 2014Diagnostic and Statistical Manual of Mental Disorders, 5th ed.15,103 cited
  • 2013Private traits and attributes are predictable from digital records of human behavior2,827 cited
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  • 2015Computer-based personality judgments are more accurate than those made by humans1,085 cited
  • 2004Language use of depressed and depression-vulnerable college students1,018 cited
  • 2012Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?980 cited
  • 2017Digital Phenotyping832 cited
  • 2017Detecting depression and mental illness on social media: an integrative review722 cited
  • 2016

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Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
683 cited
  • 1992Handbook of Language and Social Psychology671 cited
  • Cited by

    • 2019A Novel Co-Training-Based Approach for the Classification of Mental Illnesses Using Social Media Posts80 cited
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    • 2020A big data analytics framework for detecting user-level depression from social networks64 cited
    • 2025Detection of Depression Severity in Social Media Text Using Transformer-Based Models58 cited
    • 2020Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours20 cited
    • 2023A taxonomy and survey of big data in social media14 cited
    • 2022Social big data applications and challenges6 cited
    • 2026Digital mental health needs a purpose-driven approach2 cited