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Measuring the Distribution of Spitefulness

Overview of attention for article published in PLOS ONE, August 2012
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Title
Measuring the Distribution of Spitefulness
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0041812
Pubmed ID
Authors

Erik O. Kimbrough, J. Philipp Reiss

Abstract

Spiteful, antisocial behavior may undermine the moral and institutional fabric of society, producing disorder, fear, and mistrust. Previous research demonstrates the willingness of individuals to harm others, but little is understood about how far people are willing to go in being spiteful (relative to how far they could have gone) or their consistency in spitefulness across repeated trials. Our experiment is the first to provide individuals with repeated opportunities to spitefully harm anonymous others when the decision entails zero cost to the spiter and cannot be observed as such by the object of spite. This method reveals that the majority of individuals exhibit consistent (non-)spitefulness over time and that the distribution of spitefulness is bipolar: when choosing whether to be spiteful, most individuals either avoid spite altogether or impose the maximum possible harm on their unwitting victims.

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X Demographics

The data shown below were collected from the profiles of 41 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Switzerland 1 2%
Netherlands 1 2%
Indonesia 1 2%
Belgium 1 2%
United States 1 2%
Luxembourg 1 2%
Unknown 54 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Other 9 15%
Researcher 5 8%
Student > Doctoral Student 5 8%
Student > Bachelor 5 8%
Other 17 27%
Unknown 8 13%
Readers by discipline Count As %
Psychology 15 24%
Economics, Econometrics and Finance 12 19%
Agricultural and Biological Sciences 4 6%
Computer Science 3 5%
Physics and Astronomy 3 5%
Other 11 18%
Unknown 14 23%