Can social media help us reason about mental health?

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Volumn , Issue , 2014, Pages 1243-1244

  De Choudhury, Munmun ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Depression; Emotion; Facebook; Language; Mental health; Social media; Twitter; Wellness

Indexed keywords

HEALTH; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

DEPRESSION; EMOTION; FACEBOOK; LANGUAGE; MENTAL HEALTH; SOCIAL MEDIA; TWITTER; WELLNESS;

DISEASES;

EID: 84990961159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2580064     Document Type: Conference Paper

References (7)

1. Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2008, 2011, 2012.
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3. De Choudhury, M., Counts, S., & Horvitz, E. (2013). Social media as a measurement tool of depression in populations. In Proc. 5th Annual ACM Web Science Conference. 47-56.
4. De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013). Predicting depression via social media. In Proc. AAAI Conference on Weblogs and Social Media.
5. De Choudhury, M., Counts, S., Horvitz, E., & Hoff, A. (2014). Characterizing and Predicting Postpartum Depression from Facebook Data. In Proc. CSCW 2014.
6. Kessler, R.C., Berglund, P., Demler, O. et al. (2003). The Epidemiology of Major Depressive Disorder: Results from the National Comorbidity Survey Replication (NCS-R). Journal of the American Medical Association 289 (23): 3095-3105.
7. Mathers, C.D., Loncar, D. (2006). Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 3 (11).