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Cited by 246

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Content Analysis of Guilt Appeals in Popular Magazine Advertisements

Huhmann, Bruce A., Brotherton, Timothy P.·1997·Journal of Advertising

Abstract

The authors document advertisers' application of guilt appeals as a method of influence. A content analysis of guilt advertisements in 24 magazines reveals that (1) guilt appeals appear in advertising at a level comparable to that of other appeals (e.g., humor, sexual, and comparisons), (2) guilt appeals appear in every magazine type, but are most common in news and general editorial magazines, (3) the majority of guilt ads have anticipatory guilt appeals, (4) the single most common guilt statement is the statement of fact, (5) guilt is typically employed in the ad copy or in both the copy and visual images, and (6) guilt appeals appear most often in ads for charities and health-related products. Implications of the content analysis are considered and research directions outlined.

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Crossref · 10.1080/00913367.1997.10673521

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Metadata

Authors
Huhmann, B. A., & Brotherton, T. P.
Venue
Journal of Advertising
Published
1997-06
Volume
26
Issue
2
Pages
35-45
ISSN
  • 0091-3367 (ISSN-L)
  • 1557-7805
OpenAlex
W1969520651
Cited by
246
References
1
FWCI
2.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Content Analysis of Guilt Appeals in Popular Magazine Advertisements. https://app.cochat.ai/papers/10.1080/00913367.1997.10673521
The paper
Huhmann, B. A., & Brotherton, T. P. (1997). A Content Analysis of Guilt Appeals in Popular Magazine Advertisements. Journal of Advertising. https://doi.org/10.1080/00913367.1997.10673521

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.