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Cited by 298

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

The Construction of Beauty: A Cross-Cultural Analysis of Women's Magazine Advertising

Frith, K.·2005·Journal of Communication

Abstract

As a media genre, advertising offers a unique opportunity to study how the beauty ideal is constructed across cultures. This research analyzes the content of advertisements from women's fashion and beauty magazines in Singapore, Taiwan, and the U.S. to compare how beauty is encoded and found a noticeable difference between the portrayals of women from the U.S. and from the two East Asian societies in terms of sexual portrayal. In addition, Asian ads contained a large proportion of cosmetics and facial beauty products whereas the U.S. ads were dominated by clothing. These findings suggest that beauty in the U.S. may be constructed more in terms of “the body,” whereas in Singapore and Taiwan the defining factor is more related to a pretty face. The article also discusses how feminist critiques of the sexual objectification of women in advertising may need to be considered within their historical, Western context of origin.

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Metadata

Authors
Frith, K.
Venue
Journal of Communication
Published
2005-03-01
Volume
55
Issue
1
Pages
56-70
ISSN
  • 0021-9916 (ISSN-L)
  • 1460-2466
OpenAlex
W1987695517
Cited by
298
References
1
FWCI
16.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Construction of Beauty: A Cross-Cultural Analysis of Women's Magazine Advertising. https://app.cochat.ai/papers/10.1093/joc/55.1.56
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Frith, K. (2005). The Construction of Beauty: A Cross-Cultural Analysis of Women's Magazine Advertising. Journal of Communication. https://doi.org/10.1093/joc/55.1.56

Data sources

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.