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

Notes from the Field (6) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1934) Mass Media/Social Media Communication and Campaigns (582) HIV/AIDS/STI Prevention and Care (1054) Knowledge Translation and Implementation Science (532) Public Health Policy (103)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73318, first published .
Implementing Social Media Strategies in Community-Partnered HIV Research: Practical Considerations From 3 Ongoing Studies

Implementing Social Media Strategies in Community-Partnered HIV Research: Practical Considerations From 3 Ongoing Studies

Implementing Social Media Strategies in Community-Partnered HIV Research: Practical Considerations From 3 Ongoing Studies

Authors of this article:

Elena P Rosenberg-Carlson1, 2 Author Orcid Image ;   Tamra B Loeb3 Author Orcid Image ;   Raquel G Hernandez4, 5 Author Orcid Image ;   Jane J Lee6, 7 Author Orcid Image ;   Aima A Ahonkhai8, 9, 10 Author Orcid Image ;   Jessica M Perkins10, 11 Author Orcid Image ;   Chunqing Lin3 Author Orcid Image ;   Sung-Jae Lee3 Author Orcid Image ;   Sharon Hurt12 Author Orcid Image ;   Luke Johnsen13 Author Orcid Image ;   Alison B Hamilton3, 14 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Kong F, Jiang S, Kechen Dong R, Wu Q. A Machine Learning Approach to Analyzing Main Topics and Sentiments in YouTube’s Portrayal of HIV/AIDS in China. Journal of Health Communication 2025:1 View