Evidence map›Paper›PMID 36976767›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Wild animals suppress the spread of socially transmitted misinformation.

Ashkaan K Fahimipour, Michael A Gil, Maria Rosa Celis, Gabriel F Hein, Benjamin T Martin, Andrew M Hein

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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
8.7field-weighted citation impact, top 3% of its field
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, 15 citations in OpenAlex.

  1. Article
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  5. Article
  6. Interspecific dispersal constraints suppress pattern formation in metacommunities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  7. Collective behavior from surprise minimization.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

6 authors at 4 institutions in 2 countries.

Ashkaan K FahimipourDepartment of Biological Sciences, Florida Atlantic University, Boca Raton, FL 33431.ORCID 0000-0001-9138-3593
Michael A GilDepartment of Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309.ORCID 0000-0002-0411-8378
Maria Rosa CelisInstitute of Marine Sciences, University of California Santa Cruz, Santa Cruz, CA 95060.ORCID 0000-0002-3380-9370
Gabriel F HeinOpenSpace Inc., San Francisco, CA 94108.ORCID 0000-0002-6577-7254
Benjamin T MartinInstitute for Biodiversity & Ecosystem Dynamics, University of Amsterdam, 1090 GE Amsterdam, The Netherlands.
Andrew M HeinDepartment of Computational Biology, Cornell University, Ithaca, NY 14850.ORCID 0000-0001-7217-6185
University of California, Santa Cruz · USCornell University · USUniversity of Amsterdam · NLUniversity of Colorado Boulder · US

Funding

National Science Foundation (NSF) EF 2222478National Science Foundation (NSF) IOS 1855956
6 · The paper itself

Abstract

Understanding the mechanisms by which information and misinformation spread through groups of individual actors is essential to the prediction of phenomena ranging from coordinated group behaviors to misinformation epidemics. Transmission of information through groups depends on the rules that individuals use to transform the perceived actions of others into their own behaviors. Because it is often not possible to directly infer decision-making strategies in situ, most studies of behavioral spread assume that individuals make decisions by pooling or averaging the actions or behavioral states of neighbors. However, whether individuals may instead adopt more sophisticated strategies that exploit socially transmitted information, while remaining robust to misinformation, is unknown. Here, we study the relationship between individual decision-making and misinformation spread in groups of wild coral reef fish, where misinformation occurs in the form of false alarms that can spread contagiously through groups. Using automated visual field reconstruction of wild animals, we infer the precise sequences of socially transmitted visual stimuli perceived by individuals during decision-making. Our analysis reveals a feature of decision-making essential for controlling misinformation spread: dynamic adjustments in sensitivity to socially transmitted cues. This form of dynamic gain control can be achieved by a simple and biologically widespread decision-making circuit, and it renders individual behavior robust to natural fluctuations in misinformation exposure.

Indexed as

Animals, WildEpidemicsAnimalsCommunicationFishesVisual Fieldsbehavioral controldecision-makinghigher-order interactionsmisinformationsocial networks

Identifiers

PMID36976767
PMCPMC10083541
OpenAlexW4361219133

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.