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

Early Results in Infodemiology and Infoveillance (88) Infodemiology and Infoveillance (1431) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1744) Smoking Cessation (584) Formative Evaluation of Digital Health Interventions (2701)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42346, first published .
Characterizing e-Cigarette–Related Videos on TikTok: Observational Study

Characterizing e-Cigarette–Related Videos on TikTok: Observational Study

Characterizing e-Cigarette–Related Videos on TikTok: Observational Study

Authors of this article:

Zidian Xie1 Author Orcid Image ;   Siyu Xue2 Author Orcid Image ;   Yankun Gao1 Author Orcid Image ;   Dongmei Li1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Zhou R, Xie Z, Tang Q, Li D. Social Network Analysis of e-Cigarette–Related Social Media Influencers on Twitter/X: Observational Study. JMIR Formative Research 2024;8:e53666 View
  2. Lee J, Ouellette R, Morean M, Kong G. Adolescents and Young Adults Use of Social Media and Following of e-Cigarette Influencers. Substance Use & Misuse 2024;59(9):1424 View
  3. Lee J, Murthy D, Ouellette R, Anand T, Kong G. Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach. Substance Use & Misuse 2025;60(5):677 View
  4. Elsayed H, Bradley L, Lundin M, Nivala M. Social media in school health promotion: the need for institutional and professional development. Health Promotion International 2025;40(2) View
  5. Sharp K, Ouellette R, Singh R, DeVito E, Kamdar N, de la Noval A, Murthy D, Kong G. Generative artificial intelligence and machine learning methods to screen social media content. PeerJ Computer Science 2025;11:e2710 View