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

HIV/AIDS/STI Prevention and Care (873) LGBTQ Issues (448) Online Dating, Sexual Health Behavior (162) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Natural Language Processing (692) Artificial Intelligence (1371)

Published on in Vol 8, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32405, first published .
Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States

Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States

Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States

Authors of this article:

Ari Z Klein1 Author Orcid Image ;   Steven Meanley2 Author Orcid Image ;   Karen O'Connor1 Author Orcid Image ;   José A Bauermeister2 Author Orcid Image ;   Graciela Gonzalez-Hernandez1 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Wang Y, O’Connor K, Flores I, Berdahl C, Urbanowicz R, Stevens R, Bauermeister J, Gonzalez-Hernandez G. Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic. JMIR Public Health and Surveillance 2024;10:e59193 View