Using social media to monitor mental health discussions − evidence from Twitter | Zendy

Chandler McClellan | Zendy; Mir M. Ali | Zendy; Ryan Mutter | Zendy; Larry A. Kroutil | Zendy; Justin Landwehr | Zendy

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Using social media to monitor mental health discussions − evidence from Twitter

Author(s) -

Chandler McClellan,

Mir M. Ali,

Ryan Mutter,

Larry A. Kroutil,

Justin Landwehr

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw133

Subject(s) - autoregressive integrated moving average , mental health , social media , dissemination , psychology , suicide prevention , public health , depression (economics) , poison control , applied psychology , medicine , computer science , time series , psychiatry , environmental health , world wide web , telecommunications , nursing , machine learning , economics , macroeconomics

Given the public health importance of communicating about mental illness and the growing use of social media to convey information, our goal was to develop an empirical model to identify periods of heightened interest in mental health topics on Twitter.

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