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

HIV/AIDS/STI Prevention and Care (1305) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2723) Public (e)Health, Digital Epidemiology and Public Health Informatics (2383) Natural Language Processing (1331) LGBTQ Issues (619) Online Dating, Sexual Health Behavior (218) Artificial Intelligence (5018)

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 .
Person's hands using a smartphone with Twitter app open and keyboard visible

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 (7) 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
  2. Abou Chawareb E, Im B, Lu S, Hammad M, Huang T, Chen H, Yafi F. Sexual health in the era of artificial intelligence: a scoping review of the literature. Sexual Medicine Reviews 2025;13(2):267 View
  3. Kamitani E, DeLuca J, Mizuno Y. Systematic review of infodemiology studies using artificial intelligence: social media posts on HIV preexposure prophylaxis. AIDS 2025;39(9):1254 View
  4. Klein A, Spiegel K, Bauermeister J, Gonzalez-Hernandez G. Health-Related Concerns of Anti-LGBTQ+ Legislation: Thematic Analysis Using Social Media Data. JMIR Infodemiology 2025;5:e68956 View
  5. Wang H, Kolstee J, Martinez J, van de Vijver D, Tosh J, Schroeder M, Appiah A, Zimmermann H, Jonas K. Perceptions of Long-Acting Injectable Pre-Exposure Prophylaxis Among Men Who Have Sex With Men and Transgender Individuals in Europe Using Structural Text Modeling Technique: Cross-Sectional Study. JMIR Public Health and Surveillance 2025;11:e72491 View
  6. Silvestri G, Chatterjee A. HIV-1 and Artificial Intelligence: From Molecular Insight to Population Impact. Journal of AIDS and HIV Treatment 2025:123 View
  7. Haberer J, Rono B, Ravi R, Bagaria V, Shetty S, Moparthi S, Oware K, Odoyo J, Garrison L, Rand W, Bukusi E. Natural Language Processing Analysis of WhatsApp Messages to Identify Unrecognized HIV Prevention Needs Among Young Women in Kenya. Journal of the International AIDS Society 2026;29(10) View