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Cognitive Science
Article
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Cognitive Science
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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When and Why People Evaluate Negative Reciprocity as More Fair Than Positive Reciprocity

Authors: Alex Shaw; Anam Barakzai; Boaz Keysar;

When and Why People Evaluate Negative Reciprocity as More Fair Than Positive Reciprocity

Abstract

AbstractIf you are kind to me, I am likely to reciprocate and doing so feels fair. Many theories of social exchange assume that such reciprocity and fairness are well aligned with one another. We argue that this correspondence between reciprocity and fairness is restricted to interpersonal dyads and does not govern more complex multilateral interactions. When multiple people are involved, reciprocity leads to partiality, which may be seen as unfair by outsiders. We report seven studies, conducted with people from the United States, in which participants were asked to evaluate situations involving resource distribution in contexts such as economic games, government, and the workplace. Specifically, we find that equal resource distribution in multilateral interactions is seen as more fair than engaging in reciprocity. We also find that negative reciprocity is seen as more fair than positive reciprocity in these multilateral situations because positive reciprocity is perceived as based in favoritism. We rule out alternative explanations and demonstrate that there are contexts where favoritism is not viewed as unfair. These findings are important for theories of fairness and reciprocity as they demonstrate the central role of perceived partiality in the evaluation of multi‐party resource allocation.

Related Organizations
Keywords

Adult, Male, Middle Aged, United States, Resource Allocation, Young Adult, Games, Experimental, Attitude, Government, Humans, Female, Interpersonal Relations, Social Behavior, Workplace

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
bronze