Evidence map›Paper›PMID 35906832›Full record

ArticleThe British journal of social psychology2023

Speciesism in everyday language.

Stefan Leach, Andrew P Kitchin, Robbie M Sutton, Kristof Dhont

Abstract read
In one paragraph

Article in The British journal of social psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Speciesism in everyday language.The British journal of social psychology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stefan LeachSchool of Psychology, University of Kent, Kent, UK.ORCID https://orcid.org/0000-0003-4065-3519
Andrew P Kitchin
Robbie M SuttonSchool of Psychology, University of Kent, Kent, UK.ORCID https://orcid.org/0000-0003-1542-1716
Kristof DhontSchool of Psychology, University of Kent, Kent, UK.ORCID https://orcid.org/0000-0001-6060-8083

Funding

Leverhulme Trust Research Project RPG-2018-136
6 · The paper itself

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.

Indexed as

Animal RightsLanguageAnimalsHumansPrejudiceanimalshuman-animal relationsnatural language processingspeciesismword embeddings

Identifiers

PMID35906832
PMCPMC10086848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.