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Cited by 334

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Identification as a mediator of celebrity effects

Basil, Michael D.·1996·Journal of Broadcasting & Electronic Media

Abstract

Considerable research has been devoted to the effects of celebrity endorsers on consumer behavior. Most of the research has examined credibility or attractiveness as a determinant of message effectiveness, A review of Burke, Kelman, and Bandura's theories suggests that there may be another critical factor underlying celebrity effects — identification. A review of previous research results suggests that identification may be a viable explanation for the effectiveness of celebrity endorsers. A test of the identification effect was probed by examining people's personal concern, perceived risk, and sexual behaviors a year after Magic Johnson's announcement that he tested positive for HIV. The results of this study indicate that identification mediates message effects. This finding has important implications for media campaigns. It suggests that a spokesperson with whom the audience identifies insures the greatest likelihood of achieving lasting attitude or behavior change.

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Metadata

Authors
Basil, M. D.
Venue
Journal of Broadcasting & Electronic Media
Published
1996-09
Volume
40
Issue
4
Pages
478-495
ISSN
  • 0883-8151 (ISSN-L)
  • 1550-6878
OpenAlex
W2029543553
Cited by
334
References
3
FWCI
44.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identification as a mediator of celebrity effects. https://app.cochat.ai/papers/10.1080/08838159609364370
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Basil, M. D. (1996). Identification as a mediator of celebrity effects. Journal of Broadcasting & Electronic Media. https://doi.org/10.1080/08838159609364370

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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.