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Related Experiment Video

Updated: May 16, 2026

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Published on: May 15, 2016

Are they animals or machines? Measuring dehumanization.

Rocío Martínez¹, Rosa Rodríguez-Bailón, Miguel Moya

¹Departamento de Psicología Social, Facultad de Psicología, Campus de Cartuja s/n. 18011 - Granada, Spain. mrocio@ugr.es

The Spanish Journal of Psychology

|November 20, 2012

Summary

This summary is machine-generated.

This study explores dehumanization, finding people associate their ingroup with human traits more than outgroups. Outgroups were linked to animal or machine attributes, revealing ingroup favoritism in social perception.

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Area of Science:

Social Psychology
Cognitive Psychology

Background:

Dehumanization involves denying uniquely human attributes (animalistic) or human nature (mechanistic).
Understanding these forms is crucial for analyzing intergroup relations and prejudice.

Purpose of the Study:

To investigate two forms of dehumanization: animalistic and mechanistic.
To examine ingroup favoritism in word associations compared to outgroups.

Main Methods:

Studies 1 and 2 used a paper and pencil procedure associating ingroup (Spaniards) and outgroup (Germans, Gypsies) surnames with human, animal, or machine words.
Studies 3 and 4 employed the Implicit Association Test (IAT) to replicate findings.

Main Results:

Participants more readily associated ingroup surnames with human words than outgroup surnames.
Gypsy surnames were linked to animal-related words, while German surnames were associated with machine-related words.
Results from paper-pencil tests were replicated using the IAT.

Conclusions:

Ingroup members are preferentially associated with human attributes.
Outgroups are subjected to dehumanization through animalistic or mechanistic metaphors.
These findings highlight the cognitive mechanisms underlying prejudice and intergroup bias.