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The Attribute Frequency Model: Understanding and Mitigating Biases in Social Perception

Sector: Government • Location: Germany

Source: EU Funding & Tenders Portal

Project
Forthcoming

I introduce the Attribute Frequency Model (AFM), a novel theoretical framework to explain biases in human social perception. The AFM posits that the frequency of observed individuals’ or groups’ attributes influences social perceptions of similarity, (in-)equality, and valence. Rare attributes amplify perceived differences, inequalities, and negativity among social groups, while frequent attribute

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The project “The Attribute Frequency Model: Understanding and Mitigating Biases in Social Perception” is an infrastructure initiative in the Government sector, located in Germany. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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forthcoming

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Description

Description

I introduce the Attribute Frequency Model (AFM), a novel theoretical framework to explain biases in human social perception. The AFM posits that the frequency of observed individuals’ or groups’ attributes influences social perceptions of similarity, (in-)equality, and valence. Rare attributes amplify perceived differences, inequalities, and negativity among social groups, while frequent attributes emphasize similarities, equality, and positivity. The model assumes that humans lack the meta-cognitive capacity to account for attribute frequency during the formation of attitudes, judgments, and stereotypes. It predicts several biases in social perception that I will test empirically. People should perceive social groups as more different/unequal when considering rare attributes (e.g., being unemployed), and as more similar/equal when considering frequent attributes (e.g., being employed). Laypeople and experts may, therefore, demand action to decrease inequalities where it is most visible (among rare attributes) and not where it is most effective. Because rare attributes make group differences visible, people should prefer to process and communicate rare attributes of groups, and rare attributes will become stereotypes. This should result in a general overestimation of differences and inequalities among groups. Because rare attributes tend to be negative, most stereotypes should be negative, and a multiculturalism perspective that highlights group differences should lead to a more negative view of the social environment than a colorblind perspective. The anticipated findings are directly relevant to policymakers, organizations, and the media, providing actionable strategies to mitigate biases, improve communication, and design equitable policies. By addressing a fundamental cognitive challenge, the project promises to advance scientific understanding of social perception and to provide strategies to foster more accurate representations of social realities.

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High

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100%

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