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      Explaining the evolution of gossip

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          Significance

          From Mesopotamian cities to industrialized nations, gossip has been at the center of bonding human groups. Yet the evolution of gossip remains a puzzle. The current article argues that gossip evolves because its dissemination of individuals’ reputations induces individuals to cooperate with those who gossip. As a result, gossipers proliferate as well as sustain the reputation system and cooperation.

          Abstract

          Gossip, the exchange of personal information about absent third parties, is ubiquitous in human societies. However, the evolution of gossip remains a puzzle. The current article proposes an evolutionary cycle of gossip and uses an agent-based evolutionary game-theoretic model to assess it. We argue that the evolution of gossip is the joint consequence of its reputation dissemination and selfishness deterrence functions. Specifically, the dissemination of information about individuals’ reputations leads more individuals to condition their behavior on others’ reputations. This induces individuals to behave more cooperatively toward gossipers in order to improve their reputations. As a result, gossiping has an evolutionary advantage that leads to its proliferation. The evolution of gossip further facilitates these two functions of gossip and sustains the evolutionary cycle.

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          Most cited references59

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          Five rules for the evolution of cooperation.

          Cooperation is needed for evolution to construct new levels of organization. Genomes, cells, multicellular organisms, social insects, and human society are all based on cooperation. Cooperation means that selfish replicators forgo some of their reproductive potential to help one another. But natural selection implies competition and therefore opposes cooperation unless a specific mechanism is at work. Here I discuss five mechanisms for the evolution of cooperation: kin selection, direct reciprocity, indirect reciprocity, network reciprocity, and group selection. For each mechanism, a simple rule is derived that specifies whether natural selection can lead to cooperation.
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            First impressions: making up your mind after a 100-ms exposure to a face.

            People often draw trait inferences from the facial appearance of other people. We investigated the minimal conditions under which people make such inferences. In five experiments, each focusing on a specific trait judgment, we manipulated the exposure time of unfamiliar faces. Judgments made after a 100-ms exposure correlated highly with judgments made in the absence of time constraints, suggesting that this exposure time was sufficient for participants to form an impression. In fact, for all judgments-attractiveness, likeability, trustworthiness, competence, and aggressiveness-increased exposure time did not significantly increase the correlations. When exposure time increased from 100 to 500 ms, participants' judgments became more negative, response times for judgments decreased, and confidence in judgments increased. When exposure time increased from 500 to 1,000 ms, trait judgments and response times did not change significantly (with one exception), but confidence increased for some of the judgments; this result suggests that additional time may simply boost confidence in judgments. However, increased exposure time led to more differentiated person impressions.
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              Evolution of indirect reciprocity.

              Natural selection is conventionally assumed to favour the strong and selfish who maximize their own resources at the expense of others. But many biological systems, and especially human societies, are organized around altruistic, cooperative interactions. How can natural selection promote unselfish behaviour? Various mechanisms have been proposed, and a rich analysis of indirect reciprocity has recently emerged: I help you and somebody else helps me. The evolution of cooperation by indirect reciprocity leads to reputation building, morality judgement and complex social interactions with ever-increasing cognitive demands.
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                Author and article information

                Contributors
                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                20 February 2024
                27 February 2024
                20 February 2024
                : 121
                : 9
                : e2214160121
                Affiliations
                [1] aSchool of Management and Economics and Shenzhen Finance Institute, The Chinese University of Hong Kong , Shenzhen, China
                [2] bDepartment of Computer Science, University of Maryland , College Park, MD 20742
                [3] cInstitute for Systems Research, University of Maryland , College Park, MD 20742
                [4] dGraduate School of Business, Stanford University , Stanford, CA 94305
                [5] eDepartment of Psychology, Stanford University , Stanford, CA 94305
                Author notes
                1To whom correspondence may be addressed. Email: xinyuepan@ 123456cuhk.edu.cn or gelfand1@ 123456stanford.edu .

                Contributed by Michele J. Gelfand; received August 17, 2022; accepted December 31, 2023; reviewed by Christian Hilbe and Michael Muthukrishna

                Author information
                https://orcid.org/0000-0001-5506-0068
                https://orcid.org/0000-0002-9780-9230
                Article
                202214160
                10.1073/pnas.2214160121
                10907321
                38377206
                634efe74-c747-4dc1-9972-41e46cf89a92
                Copyright © 2024 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                : 17 August 2022
                : 31 December 2023
                Page count
                Pages: 9, Words: 7878
                Funding
                Funded by: DOD | USAF | AMC | Air Force Office of Scientific Research (AFOSR), FundRef 100000181;
                Award ID: 1010GWA357
                Award Recipient : Dana S. Nau Award Recipient : Michele J. Gelfand
                Categories
                research-article, Research Article
                psych-soc, Psychological and Cognitive Sciences
                432
                Social Sciences
                Psychological and Cognitive Sciences

                gossip,cooperation,indirect reciprocity,evolutionary game theory,agent-based model

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