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

Development and Evaluation of Research Methods, Instruments and Tools (744) Smoking and Vaping in Adolescence (45) Behavioral Surveillance for Population and Public Health Informatics (57) Social Media in Public Health informatics (67) Quality/Credibility of eHealth Information and Trust Issues (654)

Published on in Vol 9 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76737, first published .
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

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

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

Authors of this article:

Beth Hoffman1 Author Orcid Image ;   Arpita Tripathi1 Author Orcid Image ;   Ariel Shensa2 Author Orcid Image ;   Julia (Pengyue) Dou1 Author Orcid Image ;   Piper Narendorf1 Author Orcid Image ;   Nishi Hundi1 Author Orcid Image ;   Jaime Sidani1 Author Orcid Image
Article Authors Cited by Tweetations (11) Metrics

Beth Hoffman   1 , MPH, PhD ;   Arpita Tripathi   1 , MA ;   Ariel Shensa   2 , MA, PhD ;   Julia (Pengyue) Dou   1 , MPH ;   Piper Narendorf   1 , BS ;   Nishi Hundi   1 , BA ;   Jaime Sidani   1 , CHES, MPH, PhD

1 Department of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States

2 Department of Health Administration and Public Health, John G Rangos Sr. School of Health Sciences, Duquesne University, Pittsburgh, PA, United States

Corresponding Author:

  • Beth Hoffman, MPH, PhD
  • Department of Behavioral and Community Health Sciences
  • School of Public Health, University of Pittsburgh
  • 130 De Soto Street
  • Pittsburgh, PA 15201
  • United States
  • Phone: 1 4126245859
  • Email: beth.hoffman@pitt.edu