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

Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Peer-to-Peer Support and Online Communities (797) Natural Language Processing (917) Obesity (117)

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 (12) Tweetations (5) Metrics

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  2. Correia J, Ahmad S, Waqas A, Meraj H, Pataky Z. Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e52142 View
  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
  4. Lavoie H, McVay M, Pearl R, Fisher C, Jake-Schoffman D. The Impact of Fitness Influencers on Physical Activity Outcomes: A Scoping Review. Journal of Technology in Behavioral Science 2025 View
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  6. Carbone F, Després J, Ioannidis J, Neeland I, Garruti G, Busetto L, Liberale L, Ministrini S, Vilahur G, Schindler T, Macedo M, Di Ciaula A, Krawczyk M, Geier A, Baffy G, Faienza M, Farella I, Santoro N, Frühbeck G, Yárnoz‐Esquiroz P, Gómez‐Ambrosi J, Chávez‐Manzanera E, Vázquez‐Velázquez V, Oppert J, Kiortsis D, Sbraccia P, Zoccali C, Portincasa P, Montecucco F. Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation. European Journal of Clinical Investigation 2025;55(8) View
  7. Lavoie H, Mejia D, Jake-Schoffman D. Exploring fitness influencer content preferences among female college students in the southeastern United States. Journal of American College Health 2025:1 View
  8. Liu B, Liu C. How Do People Process Weight Loss Information? Different Information Management Behaviors After Risk Information Seeking and Processing. Health Communication 2025:1 View
  9. Ménard A, Chasteen A, Van Gameren M, Bedri N, Yang M, Belanger C, Fraser S. New love, old stereotypes: ageism in social media discourses on the golden bachelor. Journal of Social Media Research 2025;2(3):195 View
  10. Kirchberger M, Berking C, Eisenried A. Real-World Use of Topical Ruxolitinib in Vitiligo: Retrospective Cross-Sectional Mixed Methods Infodemiology Study of the r/Vitiligo Subreddit. Journal of Medical Internet Research 2025;27:e78247 View
  11. Karami A, Zain A, Jamal A. Unveiling the information mirage: a systematic literature review of health misinformation on social media. Journal of Public Health 2025 View
  12. Mittal S, Shah D, Do S, ElSherief M, Mitra T, De Choudhury M. Exposure to content written by large language models can reduce stigma around opioid use disorder. npj Artificial Intelligence 2025;1(1) View