2022
DOI: 10.1177/00953997211069047
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Super-Human or Sub-Human? Positive Dehumanization and Gender in Public Performance Evaluations

Abstract: Dehumanizing language, language that compares human beings to animals or machines, is typically thought of in problematic cases, where it is designed to denigrate individuals or entire groups in society. But, this language can also be used to praise—describing an employee as a machine can be done to signify super-human characteristics. We find that positive dehumanizing language has no effect on evaluations of a public employee’s competence, but do have an effect on evaluations of warmth. Contrary to expectati… Show more

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Cited by 3 publications
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“…When both animalistic and mechanistic dehumanization are present, it is less clear how each uniquely contributes to outgroup treatment. While animalistic dehumanization alone may predict variations of harm (Bevens & Loughnan, 2019), both types of dehumanization seem useful to explain variance in personality judgments (Utych & Fowler, 2022) and helping behaviors (Andrighetto et al, 2014; Terskova & Agadullina, 2019). Digging deeper into the relative consequences, ratings of HU and HN traits both predict governmental support (Sainz, Martínez, et al, 2020) and welfare policies (Sainz, Loughnan, et al, 2020) for low socioeconomic status (SES) individuals.…”
Section: Introductionmentioning
confidence: 99%
“…When both animalistic and mechanistic dehumanization are present, it is less clear how each uniquely contributes to outgroup treatment. While animalistic dehumanization alone may predict variations of harm (Bevens & Loughnan, 2019), both types of dehumanization seem useful to explain variance in personality judgments (Utych & Fowler, 2022) and helping behaviors (Andrighetto et al, 2014; Terskova & Agadullina, 2019). Digging deeper into the relative consequences, ratings of HU and HN traits both predict governmental support (Sainz, Martínez, et al, 2020) and welfare policies (Sainz, Loughnan, et al, 2020) for low socioeconomic status (SES) individuals.…”
Section: Introductionmentioning
confidence: 99%