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Intergroup preference, not dehumanization, explains social biases in emotion attribution.

ABSTRACT: Psychological models can only help improve intergroup relations if they accurately characterise the mechanisms underlying social biases. The claim that outgroups suffer dehumanization is near ubiquitous in the social sciences. We challenge the most prominent psychological model of dehumanization - infrahumanization theory - which holds outgroup members are subtly dehumanized by being denied human emotions. We examine the theory across seven intergroup contexts in thirteen pre-registered and highly powered experiments (N = 1690). We find outgroup members are not denied uniquely human emotions relative to ingroup members. Rather, they are ascribed prosocial emotions to a lesser extent but antisocial emotions to a greater extent. Apparent evidence for infrahumanization is better explained by ingroup preference, outgroup derogation and stereotyping. Infrahumanization theory may obscure more than it reveals about intergroup bias.

SUBMITTER: Enock FE

PROVIDER: S-EPMC8444081 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Intergroup preference, not dehumanization, explains social biases in emotion attribution.

Enock Florence E FE Tipper Steven P SP Over Harriet H

Cognition 20210803

Psychological models can only help improve intergroup relations if they accurately characterise the mechanisms underlying social biases. The claim that outgroups suffer dehumanization is near ubiquitous in the social sciences. We challenge the most prominent psychological model of dehumanization - infrahumanization theory - which holds outgroup members are subtly dehumanized by being denied human emotions. We examine the theory across seven intergroup contexts in thirteen pre-registered and high ...[more]

PMID: 34358774

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Project description:Impaired mental state attribution is a core social cognitive deficit in schizophrenia. With functional magnetic resonance imaging (fMRI), this study examined the extent to which the core neural system of mental state attribution is involved in mental state attribution, focusing on belief attribution and emotion attribution. Fifteen schizophrenia outpatients and 14 healthy controls performed two mental state attribution tasks in the scanner. In a Belief Attribution Task, after reading a short vignette, participants were asked infer either the belief of a character (a false belief condition) or a physical state of an affair (a false photograph condition). In an Emotion Attribution Task, participants were asked either to judge whether character(s) in pictures felt unpleasant, pleasant, or neutral emotion (other condition) or to look at pictures that did not have any human characters (view condition). fMRI data were analyzing focusing on a priori regions of interest (ROIs) of the core neural systems of mental state attribution: the medial prefrontal cortex (mPFC), temporoparietal junction (TPJ) and precuneus. An exploratory whole brain analysis was also performed. Both patients and controls showed greater activation in all four ROIs during the Belief Attribution Task than the Emotion Attribution Task. Patients also showed less activation in the precuneus and left TPJ compared to controls during the Belief Attribution Task. No significant group difference was found during the Emotion Attribution Task in any of ROIs. An exploratory whole brain analysis showed a similar pattern of neural activations. These findings suggest that while schizophrenia patients rely on the same neural network as controls do when attributing beliefs of others, patients did not show reduced activation in the key regions such as the TPJ. Further, this study did not find evidence for aberrant neural activation during emotion attribution or recruitment of compensatory brain regions in schizophrenia.

Dataset Information

Intergroup preference, not dehumanization, explains social biases in emotion attribution.

Publications

Intergroup preference, not dehumanization, explains social biases in emotion attribution.

Similar Datasets

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