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
Article Authors Cited by (55) Tweetations (27) Metrics

Benjamin J Ricard   1, 2 , MS ;   Lisa A Marsch   2, 3 , PhD ;   Benjamin Crosier   1, 2 , PhD ;   Saeed Hassanpour   1, 2, 4, 5 , PhD

1 Department of Biomedical Data Science, Dartmouth College, Lebanon, NH, United States

2 Center for Technology and Behavioral Health, Dartmouth College, Hanover, NH, United States

3 Department of Psychiatry, Dartmouth College, Hanover, NH, United States

4 Department of Epidemiology, Dartmouth College, Hanover, NH, United States

5 Department of Computer Science, Dartmouth College, Hanover, NH, United States

Corresponding Author:

  • Saeed Hassanpour, PhD
  • Department of Biomedical Data Science
  • Dartmouth College
  • One Medical Center Drive, HB 7261
  • Lebanon, NH, 03756
  • United States
  • Phone: 1 603-650-1983
  • Fax: 1 603-650-1966
  • Email: Saeed.Hassanpour@dartmouth.edu