2020
DOI: 10.31234/osf.io/hm82y
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No convincing evidence outgroups are denied uniquely human characteristics: Distinguishing intergroup preference from trait-based dehumanization

Abstract: We challenge the prevalent claim that outgroup members are dehumanised. In study 1, we conducted a systematic content analysis of historical documents from Nazi Germany and showed that, even in these supposedly prototypical cases of extreme dehumanisation, victims are described in ways that only make sense when applied to humans. In studies 2a-c, we test Haslam’s influential dual model of dehumanisation. We show that outgroup members are thought to possess positive human attributes to a lesser extent but nega… Show more

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Cited by 4 publications
(8 citation statements)
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References 47 publications
(152 reference statements)
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“…In this article, we suggest that research on what makes people human (Ghafurian et al, 2019; H. M. Gray et al, 2007), can provide a new and more nuanced perspective into why feminization is systematically used in AI. More specifically, we draw on theories of humanization and dehumanization (Enock et al, 2020; Haslam et al, 2013; Kteily et al, 2015; Leyens et al, 2000; Over, 2020) to explore consumers' perception of the humanness of male and female AI. Because warmth and experience (but not competence) are seen as fundamental to humans but fundamentally lacking in machines (K. Gray & Wegner, 2012), we argue that women are used in AI objects to humanize these objects.…”
Section: Introductionmentioning
confidence: 99%
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“…In this article, we suggest that research on what makes people human (Ghafurian et al, 2019; H. M. Gray et al, 2007), can provide a new and more nuanced perspective into why feminization is systematically used in AI. More specifically, we draw on theories of humanization and dehumanization (Enock et al, 2020; Haslam et al, 2013; Kteily et al, 2015; Leyens et al, 2000; Over, 2020) to explore consumers' perception of the humanness of male and female AI. Because warmth and experience (but not competence) are seen as fundamental to humans but fundamentally lacking in machines (K. Gray & Wegner, 2012), we argue that women are used in AI objects to humanize these objects.…”
Section: Introductionmentioning
confidence: 99%
“…More specifically, we draw on theories of humanization and dehumanization (Enock et al, 2020;Haslam et al, 2013;Kteily et al, 2015;Leyens et al, 2000;Over, 2020) to explore consumers' perception of the humanness of male and female AI. Because warmth and experience (but not competence) are seen as fundamental to humans but fundamentally lacking in machines (K. Gray & Wegner, 2012), we argue that women are used in AI objects to humanize these objects.…”
mentioning
confidence: 99%
“…This may explain why dehumanization likening victims to diseases or their vectors (e.g., rats and cockroaches) is thought to have played an integral role in several twentieth-century genocides (Neilsen, 2015;Savage, 2007). To quantify the prevalence of disease-based dehumanization during a paradigmatic instance of genocide, we first re-analyzed data from a previous content analysis of Nazi antisemitic propaganda (Enock et al, 2020). We then built on this archival method with three studies investigating the Prophylactic Dehumanization Model during the COVID-19 pandemic.…”
Section: The Present Researchmentioning
confidence: 99%
“…The documents were all translated to English by the same expert historian (see Bytwerk, 2012) and amount to 29,185 total words. A brief synopsis of each document provided by Enock et al (2020) is included in Online Resource 1. Enock et al (2020) initially coded each document for instances of dehumanization, identifying 171 total instances.…”
Section: Re-analysis Of Nazi Propagandamentioning
confidence: 99%
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