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Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram
16 references·8 citing·44 second hop
Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram (2018)Exploring the Utility of Community-Genera…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…Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution (2017)Depression Detection via Harv…Screening for Depression in Adults (2016)Screening for Depression in A…Predicting postpartum changes in emotion and behavior via social media (2013)Predicting postpartum changes…Gender differences in depression and anxiety: The role of age (2013)Gender differences in depress…Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 (2013)Burden of Depressive Disorder…A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication (2013)A New Dimension of Health Car…Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011)Temporal Patterns of Happines…The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review (2010)The Patient Health Questionna…Clinical diagnosis of depression in primary care: a meta-analysis (2009)Clinical diagnosis of depress…Prevalence and Distribution of Major Depressive Disorder in African Americans, Caribbean Blacks, and Non-Hispanic Whites (2007)Prevalence and Distribution o…The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The PHQ-9: A New Depression D…The PHQ-9 (2001)The PHQ-9Sex Differences and the Epidemiology of Depression (1977)Sex Differences and the Epide…Depression detection on online social network with multivariate time series feature of user depressive symptoms (2023)Depression detection on onlin…The Impact of Government Social Media Information Quality on Public Panic During the Infodemic (2022)The Impact of Government Soci…Emotion fusion for mental illness detection from social media: A survey (2022)Emotion fusion for mental ill…Detecting Depression Signs on Social Media: A Systematic Literature Review (2022)Detecting Depression Signs on…Improving Psychiatric Care Through Integrated Digital Technologies (2021)Improving Psychiatric Care Th…A Systematic review of the validity of screening depression through Facebook, Twitter, Instagram, and Snapchat (2021)A Systematic review of the va…Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours (2020)Social media analytics in nut…Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis (2020)Depression Risk Prediction fo…An Inventory for Measuring Depression (1961)A New Depression Scale Designed to be Sensitive to Change (1979)Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection (2007)The PHQ-8 as a measure of current depression in the general population (2008)The Patient Health Questionnaire-2 (2003)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis (2011)Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population (2014)Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis (2015)Human behavior and the principle of least effort (1949)The Measurement of Meaning (1957)Twitter mood predicts the stock market (2011)The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place (2013)Rapid assessment of disaster damage using social media activity (2016)The Epidemiology of Major Depressive Disorder (2003)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Race, socioeconomic status, and health: Complexities, ongoing challenges, and research opportunities (2010)Socioeconomic Disparities in Health in the United States: What the Patterns Tell Us (2010)The social determinants of mental health and disorder: evidence, prevention and recommendations (2024)The Structured Clinical Interview for DSM-III-R (SCID) (1992)Depression, Disability Days, and Days Lost From Work in a Prospective Epidemiologic Survey (1990)Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews (2005)Facebook language predicts depression in medical records (2018)The Measurement of Observer Agreement for Categorical Data (1977)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Online communication, social media and adolescent wellbeing: A systematic narrative review (2014)Social media and health care professionals: benefits, risks, and best practices. (2014)Social Media Use for Health Purposes: Systematic Review (2021)SYMPTOMATOLOGY AND MANAGEMENT OF ACUTE GRIEF (1944)The social readjustment rating scale (1967)Women and Madness (1972)The Epidemiology of Social Stress (1995)Men, masculinity, and the contexts of help seeking. (2003)Men and health help‐seeking behaviour: literature review (2005)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Diagnostic and Statistical Manual of Mental Disorders (2013)Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study (2019)New WHO prevalence estimates of mental disorders in conflict settings: a systematic review and meta-analysis (2019)Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic review and meta‐analysis (2021)Excess mortality in persons with severe mental disorders: a multilevel intervention framework and priorities for clinical practice, policy and research agendas (2017)Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression (2020)Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): A systematic review (2020)
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  • 2017Forecasting the onset and course of mental illness with Twitter data401 cited

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  • 2017Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution401 cited
  • 2013Gender differences in depression and anxiety: The role of age360 cited
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    • 2022Emotion fusion for mental illness detection from social media: A survey86 cited
    • 2022Detecting Depression Signs on Social Media: A Systematic Literature Review73 cited
    • 2020Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis72 cited
    • 2021A Systematic review of the validity of screening depression through Facebook, Twitter, Instagram, and Snapchat63 cited
    • 2023Depression detection on online social network with multivariate time series feature of user depressive symptoms63 cited
    • 2020Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours20 cited
    • 2022The Impact of Government Social Media Information Quality on Public Panic During the Infodemic13 cited
    • 2021Improving Psychiatric Care Through Integrated Digital Technologies4 cited