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Cited by 247

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Subhuman, Inhuman, and Superhuman: Contrasting Humans with Nonhumans in Three Cultures

Haslam, Nick, Kashima, Yoshihisa, Loughnan, Stephen, Shi, Junqi, Suitner, Caterina·2008·Social Cognition

Abstract

To understand dehumanization, we must understand how humans are contrasted with nonhumans. Our work (Haslam, 2006) proposes two forms of dehumanization, in which people are denied uniquely human attributes and likened to animals, or denied human nature attributes and likened to robots. In the light of this model, we examined the mental capacities that are believed to differentiate humans from animals, robots, and supernatural beings in three cultures (Australia, China, Italy). Cross–culturally consistent patterns emerged, with humans differing from nonhumans on two dimensions that closely resembled our two proposed forms of humanness. Compared to humans, animals were seen as lacking higher cognitive powers and refined emotion, but also as having superior perceptual capacities. Robots chiefly lacked emotion– and desire–related capacities. Supernatural beings had superior cognitive and perceptual capacities. Implications for dehumanization are discussed.

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Metadata

Authors
Haslam, N., Kashima, Y., Loughnan, S., Shi, J., & Suitner, C.
Venue
Social Cognition
Published
2008-04
Volume
26
Issue
2
Pages
248-258
ISSN
0278-016X (ISSN-L)
OpenAlex
W2130960398
Cited by
247
References
6
FWCI
33.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Subhuman, Inhuman, and Superhuman: Contrasting Humans with Nonhumans in Three Cultures. https://app.cochat.ai/papers/10.1521/soco.2008.26.2.248
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Haslam, N., Kashima, Y., Loughnan, S., Shi, J., & Suitner, C. (2008). Subhuman, Inhuman, and Superhuman: Contrasting Humans with Nonhumans in Three Cultures. Social Cognition. https://doi.org/10.1521/soco.2008.26.2.248

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.