Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49416, first published .
Twitter Misinformation Discourses About Vaping: Systematic Content Analysis

Twitter Misinformation Discourses About Vaping: Systematic Content Analysis

Twitter Misinformation Discourses About Vaping: Systematic Content Analysis

Journals

  1. Yang Q, Clendennen S, Marti C, Loukas A. Associations between social media engagement and young adults’ subsequent onset of ENDS dependence symptoms one year later. Addictive Behaviors 2024;157:108096 View
  2. Gupta A, Velagapuri V, Xue H, Purohit H. Intent mining framework for understanding online conversations on vaping to inform social media-based intervention design. Behaviour & Information Technology 2025;44(9):1828 View
  3. Choo L, Ng I, Tan L, Teo D. Clinical practice in an age of medical misinformation and conspiracy theories. Internal Medicine Journal 2025;55(1):158 View
  4. Al-Rawi A. Trolling the Messenger: Visual Disinformation Targeting CNN and Fox News. Visual Communication Quarterly 2025;32(2):105 View
  5. Noah O, Okunlola P, Ujunwa D, Agbo C, Akpegah G, Mayungbo B, Tundealao S. Evaluation of consumer health information about monkeypox on X (formerly Twitter). Journal of Public Health 2025 View
  6. Hoffman B, Tripathi A, Shensa A, Dou J, Narendorf P, Hundi N, Sidani J. Response to the Netflix Docuseries “Big Vape: The Rise and Fall of JUUL”: Mixed Methods Analysis of YouTube Comments Using Qualitative Coding and Topic Modeling. JMIR Formative Research 2025;9:e76737 View
  7. Han E, Lyu J, Ling P. An exploratory typology of tobacco-related misleading content on social media: a qualitative analysis of Instagram and TikTok (Preprint). Journal of Medical Internet Research 2025 View
  8. Han E, Feng M, Ling P. Building an analytical framework for tobacco-related information on social media: an exploratory analysis with generative AI assistance. BMC Public Health 2025;25(1) View