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

Infodemiology and Infoveillance (1558) Behavioural Surveillance for Public Health (294) Substance and Alcohol Abuse in Adolescence (134) Artificial Intelligence (2129) Social Media in Adolescence (76) Smoking and Vaping in Adolescence (45) Natural Language Processing (917)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55591, first published .
The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study

The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study

The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study

Authors of this article:

Sungwon Jung1 Author Orcid Image ;   Dhiraj Murthy1 Author Orcid Image ;   Bara S Bateineh2 Author Orcid Image ;   Alexandra Loukas3 Author Orcid Image ;   Anna V Wilkinson2 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Murthy D, Keshari S, Arora S, Yang Q, Loukas A, Schwartz S, Harrell M, Hébert E, Wilkinson A. Categorizing E-cigarette-related tweets using BERT topic modeling. Emerging Trends in Drugs, Addictions, and Health 2024;4:100160 View
  2. Vassey J, Kennedy C, Chang H, Unger J. Generative AI in a new era of computer model-informed tobacco research: a short report. Tobacco Control 2025:tc-2024-058887 View
  3. Biles J, Kornhaber R, Irwin P, Schineanu A, Kavisha Sookraj-Baran M, Cleary M. Perspectives, motivations, and experiences of adolescents and young adults using nicotine vapes: a qualitative review. Health Promotion International 2025;40(2) View
  4. Bataineh B, Marti C, Murthy D, Badillo D, Chow S, Loukas A, Wilkinson A. Vaping, Acculturation, and Social Media Use Among Mexican American College Students: Protocol for a Mixed Methods Web-Based Cohort Study. JMIR Research Protocols 2025;14:e63584 View
  5. Adekeye O, Marquez F, Abuga C, Oclaray T, Gonyoe G, Mumba M. Exploring Social Media’s Influence on Adolescents’ Curiosity About E-Cigarette Use: A Secondary Data Analysis. Journal of Child & Adolescent Substance Use 2025;30(5):245 View
  6. Rocha-Ávila L, Núñez-Baila M, González-López J. E-Cigarette Use Among University Students: A Structured Literature Review of Health Risks, Behavioral and Social Determinants, and Nursing Implications. Healthcare 2025;13(17):2150 View
  7. Zhou T, Xing M, Hu Y, Liang J, Ren Q, Yang Y, Ye L. The application of large language models in qualitative nursing research: A scoping review. Nursing Outlook 2025;73(6):102544 View
  8. Mand A, Struik L. Examining how oral nicotine pouches are trending on TikTok: A qualitative descriptive study (Preprint). JMIR Formative Research 2025 View
  9. Chang L, Lai I, Lee C, Liao L. Perceived Benefits as a Mediator of Social Media’s Influence on E-cigarette Intentions Among Current Nonusers in Taiwanese College Students. Sage Open 2025;15(4) View
  10. Xie Z, Korrapolu N, Dubey A, Song L, Xu C, Wilson K, Cupertino A, Li D. Leveraging Large Language Models to Identify Engagement-Driving Features in Vaping-Related TikTok Videos: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e76265 View
  11. Vassey J, Chen-Sankey J, Unger J. E-cigarette and Cannabis in Social Media Influencer Marketing and Its Effect on Adolescents: A Survey-Based Experiment. Nicotine and Tobacco Research 2025 View
  12. Amien N, Reina A. Hadikusumo , Yimmi Syavardie . The Strategy of Sosial Media Marketing in Influencing Consumer Financial Behavior: A Tiktok Case Study. Ilomata International Journal of Management 2025;6(4):1313 View