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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142) Mass Media/Social Media Communication and Campaigns (575) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1920) Infodemiology and Infoveillance (1563) Smoking Cessation (633) Public (e)Health, Digital Epidemiology and Public Health Informatics (1018) Information Demand (47)

Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29600, first published .
Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study

Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study

Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study

Authors of this article:

Yankun Gao1 Author Orcid Image ;   Zidian Xie1 Author Orcid Image ;   Li Sun2 Author Orcid Image ;   Chenliang Xu2 Author Orcid Image ;   Dongmei Li1 Author Orcid Image
Article Authors Cited by (11) Tweetations (12) Metrics

Journals

  1. Feliciano J, Li D, Xie Z. Public Perceptions of Flavored Waterpipe Smoking on Twitter. International Journal of Environmental Research and Public Health 2023;20(7):5264 View
  2. Olsacher A, Bade C, Ehlers J, Freitag B, Fehring L. Messaging strategies for communicating health-related information in social media—a content and effectiveness analysis of organ donation posts on Instagram in Germany. BMC Public Health 2023;23(1) View
  3. Struik L, Christianson K, Khan S, Sharma R. Strengths and Limitations of Web-Based Cessation Support for Individuals Who Smoke, Dual Use, or Vape: Qualitative Interview Study. JMIR Formative Research 2023;7:e43096 View
  4. Liu J, Lee D, Stevens E. Characteristics Associated with Young Adults’ Intentions to Engage with Anti-Vaping Instagram Posts. International Journal of Environmental Research and Public Health 2023;20(11):6054 View
  5. Viswanatha Reddy G, Chaitanya B, Prathyush P, Sumanth M, Mrinalini C, Dileep Kumar P, Mukherjee S. DFW-PP: dynamic feature weighting-based popularity prediction for social media content. The Journal of Supercomputing 2024;80(4):5708 View
  6. 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
  7. Soriano J, Lumbreras S, Celli B, Jenkins C. I love you with all my lungs: a viewpoint on communicating effectively and positively about lung health. European Respiratory Journal 2024;64(1):2400919 View
  8. Ahuja N, Mahmood A, Kedia S, Gulabani M, Ahuja N, Robare J. Factors Influencing US Adolescents’ Exposure and Engagement with E-Cigarette-Related Content on Social Media. International Journal of Mental Health and Addiction 2025 View
  9. 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
  10. Grieco V, Fiorito D, Giorgianni G, Irato E, Di Prima A, Chillari C, Ippolito A, Mereu L, Ragusa R. HPV Vaccine: An Effective but Underutilized Prevention Tool. International Journal of Environmental Research and Public Health 2025;22(12):1844 View

Books/Policy Documents

  1. Li D, Xie Z. International Encyclopedia of Public Health. View