Data collection. Since the start of the project, we have:
• Carried out a 13-country survey, finalized in November 2024, sampled around 2,000 individuals in each country. The countries included in the survey are: Austria, Canada, Czechia, Denmark, Germany, Hungary, Italy, Netherlands, Poland, Spain, Turkey, UK, US, covering a wide range of political systems.
• Conducted single-purpose survey experiments in countries such as Austria, Germany and the US.
Prevalence of partisan prejudice.
• The 13-country survey provides important insights into the prevalence of partisan prejudice. We implemented innovative survey measures (see below) that allow us to describe (1) the affect, emotions, and stereotypes people hold towards other partisans and (2) the extent to which people see themselves as the target of partisan prejudice.
Origins of partisan prejudice. Since the start of the project, we have found that:
• Individuals hold systematic perceptions concerning the homogeneity and extremity of opposing party supporters,
• Party leaders shape partisan stereotypes,
• Ideological identities influence partisan affect,
• Party extremity drives partisan hostility, even in multidimensional contexts,
• Signalling cooperation with radical right parties influences partisan prejudice,
• Individuals project partisan identities onto others,
• Threat perceptions and emotional reactions affect partisan prejudice, and
• The perception of ‘feeling understood’ is associated with lower partisan prejudice.
Consequences and Remedies. Since the start of the project, we have shown that:
• Partisans whose parties form coalitions with each other show increased mutual positive affect,
• Coalition signals can reduce partisan prejudice, and
• Anti-system radical-right supporters show least support for democracy
Methodological Innovations. In terms of methodological advances, we have:
• Developed new survey measures for partisan perceptions, network heterogeneity, and perceived unfair treatment implemented in the 13-country survey,
• Implemented experimental methodologies using AI-generated images,
• Created dynamic survey environments using ChatGPT, and
• Assessed the validity of conjoint survey designs for studies of partisan affect.
Interdisciplinary Engagement
• PARTISAN team members with interdisciplinary backgrounds and co-supervision,
• Interdisciplinary international workshop scheduled for March 2025, and
• Co-organization of annual meeting of political psychologists in the DACH region.