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

Infodemiology and Infoveillance (1274) Smoking Cessation (518) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Prevention and Health Promotion (895) Mass Media/Social Media Communication and Campaigns (448) Infoveillance and Social Listening (181)

Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27894, first published .
Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets

Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets

Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets

Authors of this article:

Kar-Hai Chu1 Author Orcid Image ;   Tina B Hershey1 Author Orcid Image ;   Beth L Hoffman1 Author Orcid Image ;   Riley Wolynn1 Author Orcid Image ;   Jason B Colditz2 Author Orcid Image ;   Jaime E Sidani1 Author Orcid Image ;   Brian A Primack3 Author Orcid Image
Article Authors Cited by (3) Tweetations (11) Metrics

Journals

  1. Baumann S, Thompson J. Toward a more expansive and inclusive definition of women’s health: A content analysis of Twitter conversations. Health Care for Women International 2024;45(8):872 View
  2. McKeganey N, Patton A, Marza V, Barnard G. When it comes to assessing the impact of e-cigarettes, estimates of device prevalence matter: the BIDI Stick disposable device. Harm Reduction Journal 2023;20(1) View
  3. Ma S, Jiang S, Wagener T, Mays D, Chen J, Shang C, Oliveri Conti G. The associations between e-liquid characteristics and its pricing: Evidence from online vape shops. PLOS ONE 2023;18(5):e0286258 View