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

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Title: Decoding Anti-Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model.
Authors: Liu J; Department of Communication Studies, Ernestine M. Raclin School of the Arts, Indiana University South Bend, South Bend, IN, 46615, United States., Niu Z; Health Informatics, School of Health Professions, Rutgers University, New Jersey, NJ, 08901, United States.
Source: JMIR formative research [JMIR Form Res] 2026 May 14; Vol. 10, pp. e85703. Date of Electronic Publication: 2026 May 14.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.2196/85703
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      – TitleFull: Decoding Anti-Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model.
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              Text: 2026 May 14
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