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Whose Team Are You On? Evaluating Public Response to Native American Policy Priorities

Published online by Cambridge University Press:  01 September 2026

Elise N. Blasingame*
Affiliation:
Oxford College of Emory University , Oxford, GA, USA

Abstract

Native American advocates and Tribal Nations have fought for decades against the use of Native imagery in sports mascots. In recent years, national sports franchises, colleges, and states have started responding to these demands by changing team names and iconography. As these policy changes have been framed as racial equity initiatives rather than matters of Native sovereignty, some professional teams continue to use Native imagery, and many states remain entrenched in debates over legislative mandates to remove such imagery from K-12 school sports. This project uses data from two survey experiments to examine how predominantly White fan bases respond to requests from tribal leaders, White allies, and partisan officials to support tribal policy priorities. Results indicate that the racial identity of the messenger significantly influences support for changing mascot practices, with Native messengers eliciting the strongest positive shifts in opinion.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Survey 1 mean responses by partisan identity (n = 822). Points indicate model-predicted mean support (1–5 scale) estimated from OLS; vertical lines denote 95% confidence intervals.

Figure 1

Figure 2. Average treatment effects for Survey 1 (n = 822). Points indicate conditional average treatment effects estimated from OLS models with a standardized outcome; horizontal bars denote 95% confidence intervals.

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Figure 3. Conditional average treatment effects by respondent race (binary) in Survey 1 (n = 754). Points indicate conditional average treatment effects estimated from OLS models with a standardized outcome; horizontal bars denote 95% confidence intervals.

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Figure 4. Conditional average treatment effects for respondents by partisan ID in Survey 1 (n = 754). Points indicate conditional average treatment effects estimated from OLS models with a standardized outcome; horizontal bars denote 95% confidence intervals.

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Figure 5. Average treatment effects in Survey 2 (n = 964). Points show average treatment effects estimated via OLS. All models adjust for gender and partisanship. Error bars represent 95% confidence intervals.

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Figure 6. Conditional average treatment effects among White respondents in Survey 2 (n = 929). Estimates are obtained from OLS models with treatment–race interactions. Points denote estimated effects and bars indicate 95% confidence intervals.

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Figure 7. Conditional average treatment effects by partisan ID, Survey 2 (n = 935). Estimates are obtained from OLS models with treatment-partisan. Points denote estimated effects and bars indicate 95% confidence intervals.

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