Year: 2022
Type: article
Abstract: Background:Prejudices against minorities can be understood as habitually negative evaluations that are kept in spite of evidence to the contrary. Therefore, individuals with strong prejudices might be dominated by habitual or “automatic” reactions at the expense of more controlled reactions. Computational theories suggest individual differences in the balance between habitual/model-free and deliberative/model-based decision-making. Methods:127 subjects performed the two Step task and completed the blatant and subtle prejudice scale. Results:By using analyses of choices and reaction times in combination with computational modeling, subjects with stronger blatant prejudices showed a shift away from model-based control. There was no association between these decision-making processes and subtle prejudices. Conclusion:These results support the idea that blatant prejudices toward minorities are related to a relative dominance of habitual decision-making. This finding has important implications for developing interventions that target to change prejudices across societies.
Source: Frontiers in Psychology
Institutions: University of Potsdam, Humboldt-Universität zu Berlin, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charité – Universitätsmedizin Berlin, Neuroimaging Center, Technische Universität Dresden, University of Zurich, Ludwig-Maximilians-Universität München, University College London, Max Planck Institute for Human Cognitive and Brain Sciences
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,155
Awards: G1198109049, G2461704809, G2661924910, G3188322158, G3725749346, G3861730116, G3986097662, G400742386, G4543320513, G4698439035, G4699623852, G6227179415, G6231821655, G682007677, G6838100084, G6932978679, TRR 265: Verlust und Wiedererlangung der Kontrolle über den Drogenkonsum: Von Trajektorien über Mechanismen bis hin zu Interventionen, G876420617
OpenAlex ID: W4206162005