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The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study.

, , , , and . CoRR, (2020)

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Respondent-Driven Sampling in Online Social Networks., , and . SBP, volume 7812 of Lecture Notes in Computer Science, page 403-411. Springer, (2013)Modeling Spread of Disease from Social Interactions., , and . ICWSM, The AAAI Press, (2012)Toward Macro-Insights for Suicide Prevention: Analyzing Fine-Grained Distress at Scale., , , , , and . CLPsych@ACL, page 107-117. Association for Computational Linguistics, (2014)The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study., , , , and . CoRR, (2020)Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media., , , , , , and . AAAI, page 3982-3990. AAAI Press, (2016)Individual-level Anxiety Detection and Prediction from Longitudinal YouTube and Google Search Engagement Logs., , , , and . ICWSM Workshops, (2021)Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media., , , , , , and . AI Magazine, 38 (1): 37-48 (2017)Social structure and depression in TrevorSpace., , , , and . CSCW, page 615-625. ACM, (2014)Detecting Low Self-Esteem in Youths from Web Search Data., , , and . WWW, page 2270-2280. ACM, (2019)Detecting Individuals with Depressive Disorder fromPersonal Google Search and YouTube History Logs., , , , , and . CoRR, (2020)