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Cited by 281

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

The Televised Sports Manhood Formula

Messner, Michael A., Dunbar, Michele, Hunt, Darnell·2000·Journal of Sport and Social Issues

Abstract

Recent research indicates that the televised sports that U.S. boys watch most include pro basketball, pro football, pro baseball, Extreme sports, sports highlights shows, and the dramatic pseudosport of pro wrestling. Based on a textual analysis of these televised sports shows and their accompanying commercial advertisements, the authors identify 10 recurrent themes concerning gender, race, aggression, violence, militarism, and commercialism that, together, they call the Televised Sports Manhood Formula. This formula is a master ideological narrative that is well suited to discipline boys’ bodies, minds, and consumption choices in ways that construct a masculinity that is consistent with the entrenched interests of the sports/media/commercial complex. However, the authors note some discontinuities and contradictory moments within and between sports media texts and call for audience studies to explore the various ways that boys interpret, use, or negotiate the Televised Sports Manhood Formula.

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Crossref · 10.1177/0193723500244006

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Metadata

Authors
Messner, M. A., Dunbar, M., & Hunt, D.
Venue
Journal of Sport and Social Issues
Published
2000-11
Volume
24
Issue
4
Pages
380-394
ISSN
  • 0193-7235 (ISSN-L)
  • 1552-7638
OpenAlex
W2141722325
Cited by
281
References
1
FWCI
6.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Televised Sports Manhood Formula. https://app.cochat.ai/papers/10.1177/0193723500244006
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Messner, M. A., Dunbar, M., & Hunt, D. (2000). The Televised Sports Manhood Formula. Journal of Sport and Social Issues. https://doi.org/10.1177/0193723500244006

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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.