Experimental testing of three categorization-based interventions to reduce prejudice and discrimination against the unvaccinated in the aftermath of COVID-19

2Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

For many people, COVID-19 vaccination now informs social identity, triggering prejudice and discrimination toward those with a different vaccination status. As this may jeopardize social cohesion, we investigated the effects of three brief, theory-informed interventions for reducing ingroup bias in a preregistered experimental intervention study in Germany, assigning vaccinated participants (N = 2016) to one of four conditions: crossed categorization (emphasizing commonalities between vaccinated and unvaccinated individuals), recategorization (framing vaccinated and unvaccinated individuals as members of a superordinate ingroup), counter-stereotypic categorization (encouraging participants to think about mismatched stereotypes), or a control condition (no intervention). As compared to the control condition, crossed categorization and counter-stereotypic categorization were found to reduce (evaluative) ingroup bias but the observed effects were weak and mostly diminished when controlling for demographic characteristics and vaccination status identification. Overall, the results indicate that none of the three interventions substantially reduced prejudice and discrimination toward the unvaccinated.

Cite

CITATION STYLE

APA

Sprengholz, P., Betsch, C., & Böhm, R. (2024). Experimental testing of three categorization-based interventions to reduce prejudice and discrimination against the unvaccinated in the aftermath of COVID-19. Analyses of Social Issues and Public Policy, 24(2), 552–566. https://doi.org/10.1111/asap.12386

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free