Evidence map›Paper›PMID 38377206›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Explaining the evolution of gossip.

Xinyue Pan, Vincent Hsiao, Dana S Nau, Michele J Gelfand

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Gossiping for a reason: Revised Gossip Functions Questionnaire.Psychological test adaptation and development : official open access organ of the European Association of Psychological Assessment · 2024
    Article
  5. Indirect reciprocity under opinion synchronization.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Computational evolution of social norms in well-mixed and group-structured populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. A mechanistic model of gossip, reputations, and cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xinyue PanSchool of Management and Economics and Shenzhen Finance Institute, The Chinese University of Hong Kong, Shenzhen, China.ORCID 0000-0001-5506-0068
Vincent HsiaoDepartment of Computer Science, University of Maryland, College Park, MD 20742.
Dana S NauDepartment of Computer Science, University of Maryland, College Park, MD 20742.
Michele J GelfandGraduate School of Business, Stanford University, Stanford, CA 94305.ORCID 0000-0002-9780-9230

Funding

DOD | USAF | AMC | Air Force Office of Scientific Research (AFOSR) 1010GWA357
6 · The paper itself

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.

Indexed as

CommunicationCooperative BehaviorBiological EvolutionHumansagent-based modelcooperationevolutionary game theorygossipindirect reciprocity

Identifiers

PMID38377206
PMCPMC10907321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.