A mechanistic model of gossip, reputations, and cooperation.

Wright–Fisher evolutionary game theory indirect reciprocity opinion dynamics social evolution

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
14 May 2024
Historique:
medline: 8 5 2024
pubmed: 8 5 2024
entrez: 8 5 2024
Statut: ppublish

Résumé

Social reputations facilitate cooperation: those who help others gain a good reputation, making them more likely to receive help themselves. But when people hold private views of one another, this cycle of indirect reciprocity breaks down, as disagreements lead to the perception of unjustified behavior that ultimately undermines cooperation. Theoretical studies often assume population-wide agreement about reputations, invoking rapid gossip as an endogenous mechanism for reaching consensus. However, the theory of indirect reciprocity lacks a mechanistic description of how gossip actually generates consensus. Here, we develop a mechanistic model of gossip-based indirect reciprocity that incorporates two alternative forms of gossip: exchanging information with randomly selected peers or consulting a single gossip source. We show that these two forms of gossip are mathematically equivalent under an appropriate transformation of parameters. We derive an analytical expression for the minimum amount of gossip required to reach sufficient consensus and stabilize cooperation. We analyze how the amount of gossip necessary for cooperation depends on the benefits and costs of cooperation, the assessment rule (social norm), and errors in reputation assessment, strategy execution, and gossip transmission. Finally, we show that biased gossip can either facilitate or hinder cooperation, depending on the direction and magnitude of the bias. Our results contribute to the growing literature on cooperation facilitated by communication, and they highlight the need to study strategic interactions coupled with the spread of social information.

Identifiants

pubmed: 38717858
doi: 10.1073/pnas.2400689121
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2400689121

Subventions

Organisme : James S. McDonnell Foundation (JSMF)
ID : doi:10.37717/2021-3209
Organisme : John Templeton Foundation (JTF)
ID : #62281

Déclaration de conflit d'intérêts

Competing interests statement:The authors declare no competing interest.

Auteurs

Mari Kawakatsu (M)

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104.
Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.

Taylor A Kessinger (TA)

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104.

Joshua B Plotkin (JB)

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104.
Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.

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