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

Formative Evaluation of Digital Health Interventions (3556) Public (e)Health, Digital Epidemiology and Public Health Informatics (1143) Substance Abuse (568) Smoking Cessation (658) Alcohol Abuse, Alcoholism Prevention and Recovery (356) Public Health Informatics (154) Prevention and Health Promotion (1523) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1171)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85703, first published .
Decoding Anti–Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

Decoding Anti–Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

Decoding Anti–Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model

Authors of this article:

Jiawei Liu1 Author Orcid Image ;   Zhaomeng Niu2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jiawei Liu   1 * , PhD ;   Zhaomeng Niu   2 * , PhD

1 Department of Communication Studies, Ernestine M. Raclin School of the Arts, Indiana University South Bend, South Bend, IN, United States

2 Health Informatics, School of Health Professions, Rutgers University, New Jersey, NJ, United States

*all authors contributed equally

Corresponding Author:

  • Jiawei Liu, PhD
  • Department of Communication Studies
  • Ernestine M. Raclin School of the Arts, Indiana University South Bend
  • South Bend, IN 46615
  • United States
  • Email: jiawliu@iu.edu