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See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
16 references·1 citing·44 second hop
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data (2020)See and Read: Detecting Depression Sympto…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital (2018)Why do college students prefe…Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Utilizing Neural Networks and…Deep Learning for Depression Detection of Twitter Users (2018)Deep Learning for Depression …Instagram photos reveal predictive markers of depression (2017)Instagram photos reveal predi…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…Recognizing Depression from Twitter Activity (2015)Recognizing Depression from T…Text and Image: A Critical Introduction to the Visual/Verbal Divide (2014)Text and Image: A Critical In…Barriers to mental health treatment: results from the WHO World Mental Health surveys (2013)Barriers to mental health tre…Linguistic Inquiry and Word Count (LIWC) (2012)Linguistic Inquiry and Word C…The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)The Psychological Meaning of …Clinical diagnosis of depression in primary care: a meta-analysis (2009)Clinical diagnosis of depress…Language use of depressed and depression-vulnerable college students (2004)Language use of depressed and…Beck Depression Inventory–II (1996)Beck Depression Inventory–IIThe CES-D Scale (1977)The CES-D ScaleMultimodal time-aware attention networks for depression detection (2022)Multimodal time-aware attenti…The Global Assessment Scale (1976)The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) (2004)No health without mental health (2007)Undertreatment of people with major depressive disorder in 21 countries (2016)Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 (2017)Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 (2018)A new scale of social desirability independent of psychopathology. 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References

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  • 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences292 cited
  • 2014Text and Image: A Critical Introduction to the Visual/Verbal Divide

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280 cited
  • 2018Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital271 cited
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    • 2022Multimodal time-aware attention networks for depression detection44 cited