Fear-Arousing Persuasive Messages
Abstract
(1984). Fear-Arousing Persuasive Messages. Annals of the International Communication Association: Vol. 8, Communication Yearbook 8, pp. 330-375.
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Every earlier meta-analysis tested only theories about the message component of the framework.
“Specifically, each prior meta-analysis has only tested theories relevant to the message portion of our framework, and thus was only able to address a limited set of questions pertaining to fear appeal effectiveness”
From Appealing to fear: A meta-analysis of fear appeal effectiveness and theories (2015) · cites this paper as Boster & Mongeau, 1984
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- Authors
- Boster, F. J., & Mongeau, P.
- Affiliations
- Arizona State University (US)
- Venue
- Annals of the International Communication Association
- Publisher
- Oxford University Press (OUP)
- Published
- 1984-01
- Volume
- 8
- Issue
- 1
- Pages
- 330-375
- ISSN
- 2380-8977 (ISSN-L)
- 2380-8985
- OpenAlex
- W2475831412
- Cited by
- 271
- References
- 69
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 7 · 2022: 7 · 2021: 10 · 2020: 8 · 2019: 6 · 2018: 2 · 2017: 7 · 2016: 8 · 2015: 11 · 2014: 11 · 2013: 11 · 2012: 7
- FWCI
- 33.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of the International Communication Association (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Sociology and Political Science › Psychology of Social Influence
- Keywords
- persuasive messages, fear appeals, persuasion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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