JOURNAL ARTICLE

Misperceptions, Intergroup Prejudice, and the Varied Encounters Between European Citizens and Non-EU Foreigners.

  • Published In: International Journal of Public Opinion Research, 2023, v. 35, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Herda, Daniel 3 of 3

Abstract

This article examines how interpersonal exposure to non-European Union (non-EU) immigrants influences native-born European citizens' attitudes toward immigrants and their perceptions of immigrant population size, using data from the 2017 Eurobarometer survey. Drawing on Intergroup Contact Theory (ICT), which predicts that positive intergroup contact reduces prejudice, and research on population innumeracy, which suggests exposure may increase overestimation of immigrant numbers, the study finds that exposure through primary social networks and cooperative activities (e.g., sports, volunteering) is associated with more positive attitudes toward immigrants. Conversely, exposure in neighborhoods and workplaces—contexts characterized by frequent but often superficial encounters—is linked to inflated perceptions of immigrant population size. The findings highlight that different types of intergroup exposure can simultaneously reduce prejudice while exacerbating demographic misperceptions, underscoring the importance of context in shaping intergroup relations and informing future research on diversity and social cohesion.

Additional Information

  • Source:International Journal of Public Opinion Research. 2023/12, Vol. 35, Issue 4, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:0954-2892
  • DOI:10.1093/ijpor/edad035
  • Accession Number:174158834
  • Copyright Statement:Copyright of International Journal of Public Opinion Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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