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Do FIFA World Cup matches affect outgroup bias? Evidence from South Korea

Published online by Cambridge University Press:  09 May 2025

Jong Hee Park*
Affiliation:
Department of Political Science and International Relations, Director of IR Data Center, Seoul National University, Seoul, South Korea
Anakiz Elif Senturk
Affiliation:
Department of Political Science and International Relations, Seoul National University, Seoul, South Korea
*
Corresponding author: Jong Hee Park; Email: jongheepark@snu.ac.kr
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Abstract

This paper examines the effect of the 2022 FIFA World Cup group matches on outgroup bias among South Koreans. Using a list experiment conducted in four rounds before and during the tournament, we investigate whether these matches promote social learning, enabling individuals to update their perceptions of outgroups directly involved in the match, or if they merely trigger emotional responses to match results, with defeats leading to increased outgroup bias regardless of match contact. Our findings suggest insufficient evidence to conclude that South Korean respondents generally modify their outgroup bias levels in response to these events. However, certain subgroups, particularly males, demonstrate strong reactions to losses, exhibiting heightened outgroup bias towards all outgroups. These results indicate that in the context of negative contact valence, high-stakes intergroup sports competitions can lead to an overgeneralized outgroup bias against various groups among highly engaged individuals. This study contributes to understanding the relationship between sports events and intergroup attitudes, highlighting the potential for negative outcomes to exacerbate biases among certain subpopulations.

Information

Type
Research Note
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
Figure 0

Figure 1. Survey design.

Figure 1

Table 1. Sample summary statistics

Figure 2

Table 2. List experiment items: Control items were presented to all participants. Treatment group participants received one of the treatment items in addition to control items

Figure 3

Table 3. 5 × 4 experimental groups: Each round (R) represents a survey iteration, with R0 signifying the initial survey and subsequent rounds denoted by increasing integers. Each treatment group (G) is labeled accordingly, with G0 indicating the control group and G1, G2, and G3 representing different treatment conditions. The referent outgroup treatments – (R1, G1), (R2, G2), and (R3, G3) – are highlighted in dark colour

Figure 4

Table 4. Changes in Bias toward Referent Outgroups (top) and Ingroup (bottom): Statistically significant single difference estimates are shaded in a brighter colour. A darker colour shade is reserved for statistically significant double difference estimates, which is not shown in this table. Robust standard errors are reported

Figure 5

Table 5. Changes in Bias toward Non-referent Outgroups: Statistically significant single difference estimates are shaded in a brighter colour. A darker colour shade is reserved for statistically significant double difference estimates, which is not found in this table. Robust standard errors are reported. Non-referent outgroup for Round 1 are Africans (A) and Whites (B), non-referent outgroup for Round 2 are South Americans (A) and Whites (B), and non-referent outgroup for Round 3 are South Americans (A) and Africans (B)

Figure 6

Table 6. Triple Difference Estimates of Gender Gap in Referent Outgroup Bias, Ingroup Bias, and Non-referent Outgroup Bias: Statistically significant triple difference estimates are shaded in a darker colour. Robust standard errors are reported. Given the relatively small sample size, a 90% confidence interval is employed for this analysis. The number of observations for male is 1,080 (270 for the pre-game survey, 273 for Round 1, 269 for Round 2, and 268 for Round 3) and the number of observations for female is 1,089 (266 for the pre-game survey, 272 for Round 1, 283 for Round 2, and 268 for Round 3). Africans (A) and Whites (B) are non-referent outgroups for Round 1, South Americans (A) and Whites (B) for Round 2, and South Americans (A) and Africans (B) for Round 3

Figure 7

Table 7. Checks for the ceiling and floor effects

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