This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Natural Language Processing (692) Depression and Mood Disorders; Suicide Prevention (1363) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Machine Learning (1465)

Published on in Vol 20, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11817, first published .
Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram

Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram

Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram

Authors of this article:

Benjamin J Ricard1, 2 Author Orcid Image ;   Lisa A Marsch2, 3 Author Orcid Image ;   Benjamin Crosier1, 2 Author Orcid Image ;   Saeed Hassanpour1, 2, 4, 5 Author Orcid Image
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