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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Mass Media/Social Media Communication and Campaigns (448) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Infodemiology and Infoveillance (1274) Smoking Cessation (518) Public (e)Health, Digital Epidemiology and Public Health Informatics (641) Information Demand (31)

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 (7) 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

Books/Policy Documents

  1. Li D, Xie Z. Reference Module in Biomedical Sciences. View