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Pro-equality initiatives increase expressed sexism among men but may improve trust among women football fans

Published online by Cambridge University Press:  06 August 2025

Victor Araújo
Affiliation:
University of Reading, Reading, UK
Malu A.C. Gatto*
Affiliation:
University College London, London, UK
*
Corresponding author: Malu A.C. Gatto; Email: m.gatto@ucl.ac.uk
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Abstract

Globally, prejudicial attitudes toward women persist. By taking anti-discriminatory stances, value-oriented organizations – e.g., political parties and religious denominations – can tap into group identities to shape their members’ attitudes. We know much less about the role of organizations that are not inherently value-oriented – such as sports teams – in accomplishing the same. Yet, as various campaigns by sports teams worldwide indicate, this is precisely what non-value-oriented organizations increasingly attempt to do. Can football team fandom be leveraged to promote gender-egalitarian attitudes? We address this question with data from a national survey in Brazil and a survey experiment conducted in partnership with a major Brazilian football club. We find that while football team identity is salient and may be leveraged to change displayed social attitudes, the Club’s anti-sexism campaign inadvertently increased men’s expressed prejudice toward women in football – although it may have also improved institutional trust among women.

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), 2025. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Figure 1 long description.The share of respondents who identify with a football team and consider it important in their life compared to other types of established identities (a) Identification (b) Importance.Note: The unit of analysis is the respondent (N = 2,015).

Figure 1

Figure 2. Figure 2 long description.Randomization set-up condition does not produce substantively meaningful effects in any of our outcome variables.

Figure 2

Figure 3. Figure 3 long description.The effect of ECB’s campaign on fans’ sexist attitudes (a) DV: Sexist attitudes (index) (b) DV: Sexist attitudes (index) with controls (c) DV: Sexist attitudes (PCA) (d) DV: Sexist attitudes (PCA) with controls.Note: The unit of analysis is the respondent (N = 1,420). We run OLS models with robust standard errors and report confidence intervals at the 90% and 95% levels. The X-axis is expressed in standard deviations. Across panels (A–D), higher values of our outcome variables indicate attitudes that are more sexist. We interpret our results in terms of their deviation from the mean (i.e., zero). For example, a coefficient of 0.1 means the treatment has increased sexist attitudes by 0.1 of the standard deviation. Appendix I reports tables of results with raw coefficients.

Figure 3

Figure 4. Figure 4 long description.The effect of ECB’s anti-sexism campaign on fans’ support for the Club’s social role (a) DV: Racial Equality (b) DV: Gender Equality (c) DV: Sexual Harassment (d) DV: LGBT-phobia (e) DV: Social Inclusion (f) DV: Environmental Protection.Note: The unit of analysis is the respondent (N = 1,420). We run OLS models with robust standard errors and report confidence intervals at the 90% and 95% levels. The X-axis is expressed in standard deviations. Across panels (A–F), higher values of our outcome variables indicate greater support for the Club’s social role. We interpret our results in terms of their deviation from the mean (i.e., zero). For example, a coefficient of -0.1 means the treatment has decreased support for the Club’s social role by 0.1 of the standard deviation. Appendix L reports tables of results with raw coefficients.

Figure 4

Figure 5. Figure 5 long description.The effect of ECB’s campaign on fans’ campaign evaluations and perceptions of the Club’s responsiveness (a) DV: Campaign evaluation (index) (b) DV: Campaign evaluation (index) with controls (c) DV: Club’s responsiveness (index) (d) DV: Club’s responsiveness (index) with controls (e) DV: Club’s responsiveness (PCA) (f) DV: Club’s responsiveness (PCA) with controls.Note: The unit of analysis is the respondent (N = 1,420). We run OLS models with robust standard errors and report confidence intervals at the 90% and 95% levels. The X-axis is expressed in standard deviations. Higher values of our outcome variables indicate attitudes more positive evaluations of the campaign (panels A–B) and higher satisfaction with the Club’s responsiveness (C–F). We interpret our results in terms of their deviation from the mean (i.e., zero). For example, a coefficient of 0.4 means the treatment has increased satisfaction with the Club’s responsiveness by 0.4 of the standard deviation. Appendix N reports tables of results with raw coefficients.

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