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Speciesism in everyday language

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Speciesism in everyday language. / Leach, Stefan; Kitchin, Andrew P.; Sutton, Robbie M. et al.
In: British Journal of Social Psychology, Vol. 62, No. 1, 31.01.2023, p. 486-502.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Leach, S, Kitchin, AP, Sutton, RM & Dhont, K 2023, 'Speciesism in everyday language', British Journal of Social Psychology, vol. 62, no. 1, pp. 486-502. https://doi.org/10.1111/bjso.12561

APA

Leach, S., Kitchin, A. P., Sutton, R. M., & Dhont, K. (2023). Speciesism in everyday language. British Journal of Social Psychology, 62(1), 486-502. https://doi.org/10.1111/bjso.12561

Vancouver

Leach S, Kitchin AP, Sutton RM, Dhont K. Speciesism in everyday language. British Journal of Social Psychology. 2023 Jan 31;62(1):486-502. Epub 2022 Jul 30. doi: 10.1111/bjso.12561

Author

Leach, Stefan ; Kitchin, Andrew P. ; Sutton, Robbie M. et al. / Speciesism in everyday language. In: British Journal of Social Psychology. 2023 ; Vol. 62, No. 1. pp. 486-502.

Bibtex

@article{13a6ec5f8a7046a9bf9298bc27d669ba,
title = "Speciesism in everyday language",
abstract = "Speciesism, like other forms of prejudice, is thought to be underpinned by biased patterns of language use. Thus far, however, psychological science has primarily focused on how speciesism is reflected in individuals' thoughts as opposed to wider collective systems of meaning such as language. We present a large-scale quantitative test of speciesism by applying machine-learning methods (word embeddings) to billions of English words derived from conversation, film, books, and the Internet. We found evidence of anthropocentric speciesism: words denoting concern (vs. indifference) and value (vs. valueless) were more closely associated with words denoting humans compared to many other animals. We also found evidence of companion animal speciesism: the same words were more closely associated with words denoting companion animals compared to most other animals. The work describes speciesism as a pervasive collective phenomenon that is evident in a naturally occurring expression of human psychology – everyday language.",
author = "Stefan Leach and Kitchin, {Andrew P.} and Sutton, {Robbie M.} and Kristof Dhont",
year = "2023",
month = jan,
day = "31",
doi = "10.1111/bjso.12561",
language = "English",
volume = "62",
pages = "486--502",
journal = "British Journal of Social Psychology",
issn = "0144-6665",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Speciesism in everyday language

AU - Leach, Stefan

AU - Kitchin, Andrew P.

AU - Sutton, Robbie M.

AU - Dhont, Kristof

PY - 2023/1/31

Y1 - 2023/1/31

N2 - Speciesism, like other forms of prejudice, is thought to be underpinned by biased patterns of language use. Thus far, however, psychological science has primarily focused on how speciesism is reflected in individuals' thoughts as opposed to wider collective systems of meaning such as language. We present a large-scale quantitative test of speciesism by applying machine-learning methods (word embeddings) to billions of English words derived from conversation, film, books, and the Internet. We found evidence of anthropocentric speciesism: words denoting concern (vs. indifference) and value (vs. valueless) were more closely associated with words denoting humans compared to many other animals. We also found evidence of companion animal speciesism: the same words were more closely associated with words denoting companion animals compared to most other animals. The work describes speciesism as a pervasive collective phenomenon that is evident in a naturally occurring expression of human psychology – everyday language.

AB - Speciesism, like other forms of prejudice, is thought to be underpinned by biased patterns of language use. Thus far, however, psychological science has primarily focused on how speciesism is reflected in individuals' thoughts as opposed to wider collective systems of meaning such as language. We present a large-scale quantitative test of speciesism by applying machine-learning methods (word embeddings) to billions of English words derived from conversation, film, books, and the Internet. We found evidence of anthropocentric speciesism: words denoting concern (vs. indifference) and value (vs. valueless) were more closely associated with words denoting humans compared to many other animals. We also found evidence of companion animal speciesism: the same words were more closely associated with words denoting companion animals compared to most other animals. The work describes speciesism as a pervasive collective phenomenon that is evident in a naturally occurring expression of human psychology – everyday language.

U2 - 10.1111/bjso.12561

DO - 10.1111/bjso.12561

M3 - Journal article

VL - 62

SP - 486

EP - 502

JO - British Journal of Social Psychology

JF - British Journal of Social Psychology

SN - 0144-6665

IS - 1

ER -