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Social media interventions for mental health: A scoping review
15 references·0 citing·51 second hop
Social media interventions for mental health: A scoping review (2019)Social media interventions for mental hea…Facebook Social Media for Depression Detection in the Thai Community (2018)Facebook Social Media for Dep…Predicting Depression Levels Using Social Media Posts (2017)Predicting Depression Levels …#WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems (2017)#WhyWeTweetMH: Understanding …Using social media to monitor mental health discussions − evidence from Twitter (2016)Using social media to monitor…Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Discovering Shifts to Suicida…A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression (2016)A Framework for Classifying O…Using social media for support and feedback by mental health service users: thematic analysis of a twitter conversation (2015)Using social media for suppor…Patient–provider communication over social media: perspectives of adolescents with psychiatric illness (2015)Patient–provider communicatio…Youth Mental Health Interventions via Mobile Phones: A Scoping Review (2014)Youth Mental Health Intervent…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics (2014)Patient Smartphone Ownership …Developing mental health mobile apps: Exploring adolescents’ perspectives (2014)Developing mental health mobi…E-Psychotherapy: Towards an Internet-based mental health service (2011)E-Psychotherapy: Towards an I…Scoping studies: advancing the methodology (2010)Scoping studies: advancing th…Scoping studies: towards a methodological framework (2005)Scoping studies: towards a me…CBT for depression: a pilot RCT comparing mobile phone vs. computer (2013)Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia (2014)Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions (2014)Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. 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(1979)Psychological autopsy studies of suicide: a systematic review (2003)Cognitive Therapy for Depression (2012)Instagram photos reveal predictive markers of depression (2017)Natural Language Processing of Social Media as Screening for Suicide Risk (2018)Methods in predictive techniques for mental health status on social media: a critical review (2020)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)A machine learning approach predicts future risk to suicidal ideation from social media data (2020)Belief in a COVID-19 Conspiracy Theory as a Predictor of Mental Health and Well-Being of Health Care Workers in Ecuador: Cross-Sectional Survey Study (2020)Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network - A Comparative Study (2021)Social Disconnectedness, Perceived Isolation, and Health among Older Adults (2009)Social Relationships and Mortality Risk: A Meta-analytic Review (2010)A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication (2013)#MyDepressionLooksLike: Examining Public Discourse About Depression on Twitter (2017)A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals (2017)Using Social Media for Mental Health Surveillance (2020)Does the DSM-IV Clinical Significance Criterion for Major Depression Reduce False Positives? Evidence From the National Comorbidity Survey Replication (2010)Depression: A Global Public Health Concern (2012)Predicting Depression via Social Media (2021)Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model (2022)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)An attention-based CNN-BiLSTM model for depression detection on social media text (2024)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)
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References

  • 2005Scoping studies: towards a methodological framework36,603 cited
  • 2010Scoping studies: advancing the methodology15,226 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2016Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media683 cited
  • 2014Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics228 cited
  • 2017#WhyWeTweetMH: Understanding Why People Use Twitter to Discuss Mental Health Problems228 cited
  • 2014Developing mental health mobile apps: Exploring adolescents’ perspectives175 cited
  • 2017Predicting Depression Levels Using Social Media Posts174 cited
  • 2016Using social media to monitor mental health discussions − evidence from Twitter141 cited
  • 2015Using social media for support and feedback by mental health service users: thematic analysis of a twitter conversation132 cited
  • 2014Youth Mental Health Interventions via Mobile Phones: A Scoping Review117 cited
  • 2018Facebook Social Media for Depression Detection in the Thai Community94 cited
  • 2016A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression84 cited
  • 2015Patient–provider communication over social media: perspectives of adolescents with psychiatric illness

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  • 2011E-Psychotherapy: Towards an Internet-based mental health service3 cited
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