203
Views
0
CrossRef citations to date
0
Altmetric
Research Article

(No) Flag on the Play: Framing Cam Newton’s Penalty Concerns as an Issue of Size, Sportsmanship, and Fairness

, &
Pages 24-42 | Published online: 03 Nov 2020
 

Abstract

During a Week 8 post-game press conference in the 2016 season, NFL quarterback Cam Newton explicitly criticized the officiating crew of the game for not calling penalties on late hits that he felt put his safety at risk. This study analyzes the media responses that followed, identifying the evaluations made of Newton’s claim and the arguments media personalities presented in justifying those evaluations. We found the majority of statements provided support, both for Newton’s claims and his right to speak out. However, in both statements of support and dismissal, references to size dominated the discourse, reducing Newton to his physical abilities and perpetuating the brain versus brawn dichotomy, which is applied along racial lines to athletes. We argue reliance on this stereotype allows race to be an implicit factor in assessing athletes but never an explicit topic of discussion. At issue is not only that differences exist in how reporters talk about Black and White athletes, but also that these differences have evolved from racial biases obscured through the use of the stereotype, which we argue functions as a value hierarchy. Further, we argue that the continued use of such stereotypes can have significant impacts on player safety and agency.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 210.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.