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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1663) Quality/Credibility of eHealth Information and Trust Issues (544) mHealth for Patient Education (239) Information Quality in Digital Media (347) Patient Education for Cancer (153) Complementary and Alternative Medicine (35) Infodemiology and Infoveillance (1369)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60283, first published .
Alternative Health and Conventional Medicine Discourse About Cancer on TikTok: Computer Vision Analysis of TikTok Videos

Alternative Health and Conventional Medicine Discourse About Cancer on TikTok: Computer Vision Analysis of TikTok Videos

Alternative Health and Conventional Medicine Discourse About Cancer on TikTok: Computer Vision Analysis of TikTok Videos

Authors of this article:

Roxana Mika Muenster1 Author Orcid Image ;   Kai Gangi2 Author Orcid Image ;   Drew Margolin1 Author Orcid Image
Article Authors Cited by Tweetations (12) Metrics

Roxana Mika Muenster   1 , MSc ;   Kai Gangi   2 ;   Drew Margolin   1 , PhD

1 Department of Communication, Cornell University, Ithaca, NY, United States

2 Department of Computer Science, Cornell University, Ithaca, NY, United States

Corresponding Author:

  • Roxana Mika Muenster, MSc
  • Department of Communication
  • Cornell University
  • 450 Mann Library
  • 237 Mann Drive
  • Ithaca, NY, 14853
  • United States
  • Phone: 1 (607) 255 2601
  • Email: rm858@cornell.edu