The many faces of prejudice: the “What”, the “Why”, and the “How” of inferences we make from membership in social groups
This project introduces the differential information processing model to explore how multiple social group memberships influence impression formation and biases, aiming to enhance understanding and interventions for prejudice.
Projectdetails
Introduction
Prejudice and discrimination have undeniable consequences for people’s lives and well-being. Our knowledge of stereotyping and prejudice is predominantly based on studies of simple dichotomies of “us” vs. “them”, whereas every person we interact with in real life will simultaneously belong to multiple social groups.
Differential Information Processing Model
In this project, I introduce the differential information processing (DIP) model of intergroup attitudes to explain how we process information about others’ multiple group memberships to form impressions of them.
Key Proposition
The key proposition of the model is that the mechanisms of impression formation depend on inferences we make from social categories:
- Categories that are seen as informative of beliefs (e.g., religion) give rise to ingroup bias.
- Categories that are seen as informative of status (e.g., education) give rise to status bias.
Research Questions
I propose to comprehensively test this new model by addressing three essential questions:
- What inferences do we make from people’s membership in different social groups?
- Why do we make them?
- How do we make them?
Methodological Approaches
The proposed set of studies will utilize diverse methodological approaches, including:
- Cross-cultural survey experiments to capture variation in inferences people make and the type and strength of biases they show across the globe.
- Text analysis of children’s literature and experimental work with children to understand how socialization experiences shape children’s beliefs about differential informativeness of social categories.
- Neuroimaging work to understand if distinct neural processes can be linked to belief and status inferences and the corresponding biases.
Implications
If supported, this new theoretical model will connect disparate strands of literature and bring a step-change in how we study stereotyping and prejudice, opening new avenues for more generalizable interventions for prejudice reduction.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.709.681 |
Totale projectbegroting | € 1.709.681 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- UNIVERSITY OF YORKpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Applied stereotypes, social networks, and self-fulfilling prophecies: how stereotypes reinforce social inequalities
This project explores how peer networks influence the application of stereotypes among students, aiming to understand their impact on academic outcomes and social inequalities in education.
Bridges in social networks: Harnessing dual identity to improve interethnic relations
This project aims to improve interethnic relations by exploring how dual identifiers can serve as social bridges, using innovative methods to measure perceptions in social networks.
Beyond mapping of the human brain: causal deconstruction of brain mechanisms underlying complex social behaviors
This project aims to explore the neural mechanisms of social information processing through innovative behavioral tasks and neurofeedback, enhancing understanding and treatment of social disorders.
Stereotypes and Opportunities: Fostering Interactions and Awareness
The project aims to study stereotype formation and test policies to reduce educational inequalities using behavioral economics and machine learning across Italy, Finland, and Chile.
Partisan Prejudice: Origins, Consequences and Remedies in European Multiparty Democracies
PARTISAN aims to investigate the origins and effects of partisan prejudice in Europe, providing evidence-based strategies to reduce it through innovative surveys and experiments across twelve countries.