Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States.
Ari Z KleinSteven P MeanleyKaren O'ConnorJosé Arturo BauermeisterGraciela Gonzalez-HernandezPublished in: JMIR public health and surveillance (2022)
Our automated NLP pipeline can be used to identify MSM in the United States who may be at risk of acquiring HIV, laying the groundwork for using Twitter on a large scale to directly target PrEP-related interventions at this population.