Published on in Vol 10, No 3 (2021): Jul-Sep
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/27302, first published
.
Journals
- Xie Z, Xue S, Gao Y, Li D. Characterizing e-Cigarette–Related Videos on TikTok: Observational Study. JMIR Formative Research 2023;7:e42346 View
- Donaldson S, Dormanesh A, Perez C, Zaffer M, Majmundar A, Unger J, Allem J. Monitoring the Official YouTube Channels of E-Cigarette Companies: A Thematic Analysis. Health Education & Behavior 2023;50(5):677 View
- Gao Y, Xie Z, Sun L, Xu C, Li D. Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study. JMIR Public Health and Surveillance 2021;7(11):e29600 View
- Xie Z, Deng S, Liu P, Lou X, Xu C, Li D. Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning. Nicotine and Tobacco Research 2024;26(Supplement_1):S43 View
- 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
- Sun Y, Prabhu P, Li D, McIntosh S, Rahman I. Vaping: Public Health, Social Media, and Toxicity. Online Journal of Public Health Informatics 2024;16:e53245 View
- Gwon S, Cho Y, Kim Y, Paek S, Lee H. Differences in Attentional Bias Toward e-Cigarette Cues Between e-Cigarette Users and Nonusers. Journal of Addictions Nursing 2024;35(3):156 View
Books/Policy Documents
- Li D, Xie Z. International Encyclopedia of Public Health. View