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Journal of Law and the Biosciences
Article . 2015 . Peer-reviewed
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Journal of Law and the Biosciences
Article
License: CC BY NC ND
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Other literature type . 2015
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Dehumanization: its operations and its origins

Authors: Robert Mark Simpson;

Dehumanization: its operations and its origins

Abstract

Murrow and Murrow offer a novel account of dehumanization, by synthesizing data which suggest that where subject S has a dehumanized view of group G, S's neural mechanisms of empathy show a dampened response to the suffering of members of G, and S's judgments about the humanity of members of G are largely non-conscious. Here I examine Murrow and Murrow's suggestions about how identity-based hate speech bears responsibility for dehumanization in the first place. I identify a distinction between (i) accounts of the nature of the harm effected by identity prejudice, and (ii) accounts of how hate speech contributes to the harms of identity prejudice. I then explain why Murrow and Murrow's proposal is more aptly construed as an account of type (i), and explain why accounts of this type, even if they're plausible and evidentially well-supported, have limited implications in relation to justifications for anti-hate speech law.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold