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Can Exposure to Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Behaviors and Attitudes

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  • ALRABABA’H, ALA’
  • MARBLE, WILLIAM
  • MOUSA, SALMA
  • SIEGEL, ALEXANDRA A.

Abstract

Can exposure to celebrities from stigmatized groups reduce prejudice? To address this question, we study the case of Mohamed Salah, a visibly Muslim, elite soccer player. Using data on hate crime reports throughout England and 15 million tweets from British soccer fans, we find that after Salah joined Liverpool F.C., hate crimes in the Liverpool area dropped by 16% compared with a synthetic control, and Liverpool F.C. fans halved their rates of posting anti-Muslim tweets relative to fans of other top-flight clubs. An original survey experiment suggests that the salience of Salah’s Muslim identity enabled positive feelings toward Salah to generalize to Muslims more broadly. Our findings provide support for the parasocial contact hypothesis—indicating that positive exposure to out-group celebrities can spark real-world behavioral changes in prejudice.

Suggested Citation

  • Alrababa’H, Ala’ & Marble, William & Mousa, Salma & Siegel, Alexandra A., 2021. "Can Exposure to Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Behaviors and Attitudes," American Political Science Review, Cambridge University Press, vol. 115(4), pages 1111-1128, November.
    • Handle: RePEc:cup:apsrev:v:115:y:2021:i:4:p:1111-1128_2
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    1. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
    2. Paluck, Elizabeth Levy & Green, Seth A. & Green, Donald P., 2019. "The contact hypothesis re-evaluated," Behavioural Public Policy, Cambridge University Press, vol. 3(2), pages 129-158, November.
    3. Hainmueller, Jens & Hopkins, Daniel J. & Yamamoto, Teppei, 2014. "Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments," Political Analysis, Cambridge University Press, vol. 22(1), pages 1-30, January.
    4. Hopkins, Daniel J., 2010. "Politicized Places: Explaining Where and When Immigrants Provoke Local Opposition," American Political Science Review, Cambridge University Press, vol. 104(1), pages 40-60, February.
    5. Gautam Rao, 2019. "Familiarity Does Not Breed Contempt: Generosity, Discrimination, and Diversity in Delhi Schools," American Economic Review, American Economic Association, vol. 109(3), pages 774-809, March.
    6. Scott E. Carrell & Mark Hoekstra & James E. West, 2015. "The Impact of Intergroup Contact on Racial Attitudes and Revealed Preferences," NBER Working Papers 20940, National Bureau of Economic Research, Inc.
    7. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
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    2. Marius Brülhart & Gian-Paolo Klinke & Andrea Marcucci & Dominic Rohner & Mathias Thoenig, 2023. "Price and Prejudice: Housing Rents Reveal Racial Animus," CESifo Working Paper Series 10369, CESifo.
    3. Suwanprasert, Wisarut, 2023. "Consequences of Thailand’s 2006 military coup: Evidence from the synthetic control method," European Journal of Political Economy, Elsevier, vol. 80(C).
    4. Poojan Thakkar & Manan Shah, 2021. "An Assessment of Football Through the Lens of Data Science," Annals of Data Science, Springer, vol. 8(4), pages 823-836, December.
    5. Alexander Cardazzi & Joshua C. Martin & Zachary Rodriguez, 2023. "Information shocks and celebrity exposure: The effect of “Magic” Johnson on AIDS diagnoses and mortality in the U.S," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2047-2079, September.
    6. Alrababah, Ala & Marble, William & Mousa, Salma & Siegel, Alexandra Arons, 2024. "Are Minorities Punished More Harshly for Underperformance? Evidence from Premier League Soccer," OSF Preprints 7d2cu, Center for Open Science.
    7. CARR, Joel, 2022. "BLM protests and racial hate crime in the United States," Working Papers 2022008, University of Antwerp, Faculty of Business and Economics.
    8. Bray, Kerry & Braakmann, Nils & Wildman, John, 2024. "Austerity, welfare cuts and hate crime: Evidence from the UK's age of austerity," Journal of Urban Economics, Elsevier, vol. 141(C).
    9. Byunghwan Son, 2024. "Foreign pop-culture and backlash: the case of non-fan K-pop Subreddits during the pandemic," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(1), pages 117-143, March.

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