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dc.contributor.authorAwad, Edmond
dc.contributor.authorDsouza, Sohan
dc.contributor.authorShariff, Azim
dc.contributor.authorRahwan, Iyad
dc.contributor.authorBonnefon, Jean-François
dc.date.accessioned2021-10-27T20:34:42Z
dc.date.available2021-10-27T20:34:42Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136282
dc.description.abstract© 2020 National Academy of Sciences. All rights reserved. When do people find it acceptable to sacrifice one life to save many? Cross-cultural studies suggested a complex pattern of universals and variations in the way people approach this question, but data were often based on small samples from a small number of countries outside of the Western world. Here we analyze responses to three sacrificial dilemmas by 70,000 participants in 10 languages and 42 countries. In every country, the three dilemmas displayed the same qualitative ordering of sacrifice acceptability, suggesting that this ordering is best explained by basic cognitive processes rather than cultural norms. The quantitative acceptability of each sacrifice, however, showed substantial country-level variations. We show that low relational mobility (where people are more cautious about not alienating their current social partners) is strongly associated with the rejection of sacrifices for the greater good (especially for Eastern countries), which may be explained by the signaling value of this rejection. We make our dataset fully available as a public resource for researchers studying universals and variations in human morality.
dc.language.isoen
dc.publisherProceedings of the National Academy of Sciences
dc.relation.isversionof10.1073/PNAS.1911517117
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourcePNAS
dc.titleUniversals and variations in moral decisions made in 42 countries by 70,000 participants
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.relation.journalProceedings of the National Academy of Sciences of the United States of America
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-06-25T16:28:44Z
dspace.orderedauthorsAwad, E; Dsouza, S; Shariff, A; Rahwan, I; Bonnefon, J-F
dspace.date.submission2021-06-25T16:28:46Z
mit.journal.volume117
mit.journal.issue5
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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