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Correlates of Cooperation in a One-Shot High-Stakes Televised Prisoners' Dilemma

Overview of attention for article published in PLOS ONE, April 2012
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Title
Correlates of Cooperation in a One-Shot High-Stakes Televised Prisoners' Dilemma
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0033344
Pubmed ID
Authors

Maxwell N. Burton-Chellew, Stuart A. West

Abstract

Explaining cooperation between non-relatives is a puzzle for both evolutionary biology and the social sciences. In humans, cooperation is often studied in a laboratory setting using economic games such as the prisoners' dilemma. However, such experiments are sometimes criticized for being played for low stakes and by misrepresentative student samples. Golden balls is a televised game show that uses the prisoners' dilemma, with a diverse range of participants, often playing for very large stakes. We use this non-experimental dataset to investigate the factors that influence cooperation when "playing" for considerably larger stakes than found in economic experiments. The game show has earlier stages that allow for an analysis of lying and voting decisions. We found that contestants were sensitive to the stakes involved, cooperating less when the stakes were larger in both absolute and relative terms. We also found that older contestants were more likely to cooperate, that liars received less cooperative behavior, but only if they told a certain type of lie, and that physical contact was associated with reduced cooperation, whereas laughter and promises were reliable signals or cues of cooperation, but were not necessarily detected.

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Geographical breakdown

Country Count As %
United Kingdom 3 4%
Spain 2 3%
Mexico 1 1%
Netherlands 1 1%
Japan 1 1%
United States 1 1%
Unknown 70 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 12 15%
Student > Master 12 15%
Student > Bachelor 10 13%
Student > Doctoral Student 7 9%
Other 15 19%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 24%
Psychology 14 18%
Economics, Econometrics and Finance 6 8%
Social Sciences 6 8%
Computer Science 4 5%
Other 18 23%
Unknown 12 15%