↓ Skip to main content

PLOS

Your Morals Depend on Language

Overview of attention for article published in PLOS ONE, April 2014
Altmetric Badge

Mentioned by

news
38 news outlets
blogs
18 blogs
twitter
269 X users
facebook
29 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
7 Google+ users
reddit
3 Redditors
video
1 YouTube creator

Citations

dimensions_citation
336 Dimensions

Readers on

mendeley
636 Mendeley
citeulike
3 CiteULike
Title
Your Morals Depend on Language
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0094842
Pubmed ID
Authors

Albert Costa, Alice Foucart, Sayuri Hayakawa, Melina Aparici, Jose Apesteguia, Joy Heafner, Boaz Keysar

Abstract

Should you sacrifice one man to save five? Whatever your answer, it should not depend on whether you were asked the question in your native language or a foreign tongue so long as you understood the problem. And yet here we report evidence that people using a foreign language make substantially more utilitarian decisions when faced with such moral dilemmas. We argue that this stems from the reduced emotional response elicited by the foreign language, consequently reducing the impact of intuitive emotional concerns. In general, we suggest that the increased psychological distance of using a foreign language induces utilitarianism. This shows that moral judgments can be heavily affected by an orthogonal property to moral principles, and importantly, one that is relevant to hundreds of millions of individuals on a daily basis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 269 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 636 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
Germany 5 <1%
Spain 3 <1%
Ireland 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
India 1 <1%
Switzerland 1 <1%
New Zealand 1 <1%
Other 9 1%
Unknown 601 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 124 19%
Student > Bachelor 109 17%
Student > Master 105 17%
Researcher 68 11%
Professor 26 4%
Other 112 18%
Unknown 92 14%
Readers by discipline Count As %
Psychology 219 34%
Linguistics 78 12%
Social Sciences 45 7%
Neuroscience 29 5%
Economics, Econometrics and Finance 27 4%
Other 122 19%
Unknown 116 18%