Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76745, first published .
Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis

Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis

Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis

Xiangming Zhan   1 , BA, MS ;   Meijia Song   2 , BS ;   Cho Hee Shrader   3 , PhD ;   Chad E Forbes   1 , PhD ;   Angel B Algarin   1 , MPH, PhD

1 Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, United States

2 School of Nursing, University of Minnesota, Minneapolis, MN, United States

3 Division of Nursing Science, School of Nursing, Rutgers University, Newark, NJ, United States

Corresponding Author:

  • Angel B Algarin, MPH, PhD
  • Edson College of Nursing and Health Innovation
  • Arizona State University
  • 500 N 3rd St, Phoenix
  • Phoenix, AZ 85004
  • United States
  • Phone: 1 (330) 272-4294
  • Email: angel.algarin@asu.edu