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The Social Contagion of Generosity

Overview of attention for article published in PLOS ONE, February 2014
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200 Mendeley
Title
The Social Contagion of Generosity
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087275
Pubmed ID
Authors

Milena Tsvetkova, Michael W. Macy

Abstract

Why do people help strangers when there is a low probability that help will be directly reciprocated or socially rewarded? A possible explanation is that these acts are contagious: those who receive or observe help from a stranger become more likely to help others. We test two mechanisms for the social contagion of generosity among strangers: generalized reciprocity (a recipient of generosity is more likely to pay it forward) and third-party influence (an observer of generous behavior is more likely to emulate it). We use an online experiment with randomized trials to test the two hypothesized mechanisms and their interaction by manipulating the extent to which participants receive and observe help. Results show that receiving help can increase the willingness to be generous towards others, but observing help can have the opposite effect, especially among those who have not received help. These results suggest that observing widespread generosity may attenuate the belief that one's own efforts are needed.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Hungary 3 2%
United Kingdom 2 1%
Netherlands 1 <1%
Italy 1 <1%
Germany 1 <1%
Mexico 1 <1%
Portugal 1 <1%
Argentina 1 <1%
Other 1 <1%
Unknown 183 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 26%
Researcher 27 14%
Student > Master 23 12%
Student > Bachelor 19 10%
Student > Doctoral Student 17 9%
Other 29 14%
Unknown 33 17%
Readers by discipline Count As %
Psychology 50 25%
Social Sciences 45 23%
Business, Management and Accounting 13 7%
Computer Science 12 6%
Agricultural and Biological Sciences 12 6%
Other 25 13%
Unknown 43 22%