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

Ari Z Klein   1 , PhD ;   Steven Meanley   2 , PhD, MPH ;   Karen O'Connor   1 , MS ;   José A Bauermeister   2 , PhD, MPH ;   Graciela Gonzalez-Hernandez   1 , PhD

1 Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States

Corresponding Author:

  • Ari Z Klein, PhD
  • Department of Biostatistics, Epidemiology, and Informatics
  • Perelman School of Medicine
  • University of Pennsylvania
  • Blockley Hall, 4th Floor
  • 423 Guardian Drive
  • Philadelphia, PA, 19104
  • United States
  • Phone: 1 215-746-1101
  • Email: ariklein@pennmedicine.upenn.edu