Ontology highlight
ABSTRACT:
SUBMITTER: Xu Q
PROVIDER: S-EPMC9734820 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature

AIDS and behavior 20221205 6
This study seeks to identify and characterize key barriers associated with PrEP therapy as self-reported by users on social media platforms. We used data mining and unsupervised machine learning approaches to collect and analyze COVID-19 and PrEP-related posts from three social media platforms including Twitter, Reddit, and Instagram. Predominant themes detected by unsupervised machine learning and manual annotation included users expressing uncertainty about PrEP treatment adherence due to COVI ...[more]