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

Artificial Intelligence (2140) Smoking and Vaping in Adolescence (45) Kids' and Adolescents' Use of Technology (141) Social Media in Adolescence (76) Prevention and Health Promotion (1369)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76265, first published .
Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study

Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study

Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study

Authors of this article:

Zidian Xie1 Author Orcid Image ;   Nanda Kishore Korrapolu2 Author Orcid Image ;   Amisha Dubey3 Author Orcid Image ;   Luchuan Song2 Author Orcid Image ;   Chenliang Xu2 Author Orcid Image ;   Karen M Wilson4 Author Orcid Image ;   AnaPaula Cupertino5 Author Orcid Image ;   Dongmei Li1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Zidian Xie   1 , PhD ;   Nanda Kishore Korrapolu   2 , MS ;   Amisha Dubey   3 , MS ;   Luchuan Song   2 , MS ;   Chenliang Xu   2 , PhD ;   Karen M Wilson   4 , MD ;   AnaPaula Cupertino   5 , PhD ;   Dongmei Li   1 , PhD

1 Clinical and Translational Science Institute, University of Rochester, Rochester, NY, United States

2 Department of Computer Science, University of Rochester, Rochester, NY, United States

3 Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY, United States

4 Department of Pediatrics, University of Rochester, Rochester, NY, United States

5 Department of Surgery, University of Rochester, Rochester, NY, United States

Corresponding Author:

  • Dongmei Li, PhD
  • Clinical and Translational Science Institute
  • University of Rochester
  • 265 Crittenden Boulevard CU 420708
  • Rochester, NY 14642-0708
  • United States
  • Phone: 1 5852767285
  • Email: Dongmei_Li@urmc.rochester.edu