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Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis
16 references·8 citing·50 second hopsampled
Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis (2020)Detection of Suicidal Ideation on Social …Early Detection of Depression: Social Network Analysis and Random Forest Techniques (2019)Early Detection of Depression…A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media (2019)A Taxonomy of Ethical Tension…Supervised Learning for Suicidal Ideation Detection in Online User Content (2018)Supervised Learning for Suici…Overview of eRisk: Early Risk Prediction on the Internet (2018)Overview of eRisk: Early Risk…Natural Language Processing of Social Media as Screening for Suicide Risk (2018)Natural Language Processing o…Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings (2018)Expert, Crowdsourced, and Mac…Instagram photos reveal predictive markers of depression (2017)Instagram photos reveal predi…Forecasting the onset and course of mental illness with Twitter data (2017)Forecasting the onset and cou…Detecting depression and mental illness on social media: an integrative review (2017)Detecting depression and ment…A Test Collection for Research on Depression and Language Use (2016)A Test Collection for Researc…Detecting suicidality on Twitter (2015)Detecting suicidality on Twit…CLPsych 2015 Shared Task: Depression and PTSD on Twitter (2015)CLPsych 2015 Shared Task: Dep…Towards Assessing Changes in Degree of Depression through Facebook (2014)Towards Assessing Changes in …Tracking Suicide Risk Factors Through Twitter in the US (2013)Tracking Suicide Risk Factors…Suicide risk assessment in clinical practice: Pragmatic guidelines for imperfect assessments. (2012)Suicide risk assessment in cl…The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)The Psychological Meaning of …Artificial intelligence-assisted psychological intervention mechanisms for university students in the context of new media technologies: an analysis based on data from the national institute of mental health (2025)Artificial intelligence-assis…The Lancet Commission on self-harm (2024)The Lancet Commission on self…Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study (2023)Gender Bias When Using Artifi…Deep learning techniques for suicide and depression detection from online social media: A scoping review (2022)Deep learning techniques for …Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study (2021)Monitoring Depression Trends …Machine learning for suicidal ideation identification: A systematic literature review (2021)Machine learning for suicidal…A Survey of Computational Methods for Online Mental State Assessment on Social Media (2021)A Survey of Computational Met…Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study (2020)Evaluation of Korean-Language…Of mental health. 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References

  • 2009The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods5,768 cited
  • 2017Detecting depression and mental illness on social media: an integrative review722 cited
  • 2017Instagram photos reveal predictive markers of depression519 cited
  • 2018Natural Language Processing of Social Media as Screening for Suicide Risk505 cited
  • 2015Detecting suicidality on Twitter439 cited
  • 2017Forecasting the onset and course of mental illness with Twitter data401 cited
  • 2013Tracking Suicide Risk Factors Through Twitter in the US342 cited
  • 2015CLPsych 2015 Shared Task: Depression and PTSD on Twitter329 cited
  • 2014Towards Assessing Changes in Degree of Depression through Facebook256 cited
  • 2016A Test Collection for Research on Depression and Language Use240 cited
  • 2012Suicide risk assessment in clinical practice: Pragmatic guidelines for imperfect assessments.222 cited
  • 2018Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings218 cited
  • 2019A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media214 cited
  • 2018Supervised Learning for Suicidal Ideation Detection in Online User Content212 cited
  • 2019Early Detection of Depression: Social Network Analysis and Random Forest Techniques

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206 cited
  • 2018Overview of eRisk: Early Risk Prediction on the Internet194 cited
  • Cited by

    • 2020Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study139 cited
    • 2024The Lancet Commission on self-harm118 cited
    • 2021Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study97 cited
    • 2022Deep learning techniques for suicide and depression detection from online social media: A scoping review94 cited
    • 2021A Survey of Computational Methods for Online Mental State Assessment on Social Media82 cited
    • 2021Machine learning for suicidal ideation identification: A systematic literature review67 cited
    • 2023Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study20 cited
    • 2025Artificial intelligence-assisted psychological intervention mechanisms for university students in the context of new media technologies: an analysis based on data from the national institute of mental health4 cited