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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Peer-to-Peer Support and Online Communities (636) Natural Language Processing (692) Obesity (75)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36729, first published .
Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study

Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study

Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study

Authors of this article:

Catherine C Pollack1, 2 Author Orcid Image ;   Jennifer A Emond1, 3 Author Orcid Image ;   A James O'Malley1, 4 Author Orcid Image ;   Anna Byrd2 Author Orcid Image ;   Peter Green2 Author Orcid Image ;   Katherine E Miller2 Author Orcid Image ;   Soroush Vosoughi5 Author Orcid Image ;   Diane Gilbert-Diamond2, 3, 6 Author Orcid Image ;   Tracy Onega7 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

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  3. Roesler D, Johnny S, Conway M, Chen A. A theory-informed deep learning approach to extracting and characterizing substance use-related stigma in social media. BMC Digital Health 2024;2(1) View