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Cited by 388

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Stereotyping Asian Americans: The Dialectic of the Model Minority and the Yellow Peril

Kawai, Yuko·2005·Howard Journal of Communications

Abstract

The model minority stereotype is viewed as the most influential and pervasive stereotype for Asian Americans today. In this article, the author argues that this seemingly positive stereotype, the model minority, is inseparable from the yellow peril, a negative stereotype, when Asian Americans are stereotypically represented in mainstream media texts. The model minority–yellow peril dialectic is explicated with the concepts of racial triangulation and the ambivalence of stereotypes. Racial meanings for Asian Americans cannot be discussed without considering both local and global contexts. The author explores historical, political, and economic contexts of both the United States and Asia in which the two stereotypes were produced and reproduced, and examines how the dialectic of the model minority and the yellow peril operates in a Hollywood film, Rising Sun.

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Metadata

Authors
Kawai, Y.
Venue
Howard Journal of Communications
Published
2005-04
Volume
16
Issue
2
Pages
109-130
ISSN
  • 1064-6175 (ISSN-L)
  • 1096-4649
OpenAlex
W2144237613
Cited by
388
References
33
FWCI
68.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stereotyping Asian Americans: The Dialectic of the Model Minority and the Yellow Peril. https://app.cochat.ai/papers/10.1080/10646170590948974
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Kawai, Y. (2005). Stereotyping Asian Americans: The Dialectic of the Model Minority and the Yellow Peril. Howard Journal of Communications. https://doi.org/10.1080/10646170590948974

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.