Evidence map›Paper›PMID 36938538›Full record

ArticleRoyal Society open science2023

Asynchrony rescues statistically optimal group decisions from information cascades through emergent leaders.

Andreagiovanni Reina, Thomas Bose, Vaibhav Srivastava, James A R Marshall

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Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Andreagiovanni ReinaInstitute for Interdisciplinary Studies on Artificial Intelligence (IRIDIA), Université Libre de Bruxelles, Brussels 1050, Belgium.ORCID 0000-0003-4745-992X
Thomas BoseDepartment of Computer Science, University of Sheffield, Sheffield, S1 4DP, UK.ORCID 0000-0003-0014-4090
Vaibhav SrivastavaDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824-1226, USA.ORCID 0000-0002-9786-0159
James A R MarshallDepartment of Computer Science, University of Sheffield, Sheffield, S1 4DP, UK.ORCID 0000-0002-1506-167X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is usually assumed that information cascades are most likely to occur when an early but incorrect opinion spreads through the group. Here, we analyse models of confidence-sharing in groups and reveal the opposite result: simple but plausible models of naive-Bayesian decision-making exhibit information cascades when group decisions are synchronous; however, when group decisions are asynchronous, the early decisions reached by Bayesian decision-makers tend to be correct and dominate the group consensus dynamics. Thus early decisions actually rescue the group from making errors, rather than contribute to it. We explore the likely realism of our assumed decision-making rule with reference to the evolution of mechanisms for aggregating social information, and known psychological and neuroscientific mechanisms.

Indexed as

Bayesian braincollective decision-makingemergent leadersinformation cascades

Identifiers

PMID36938538
PMCPMC10014242

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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table measurements read8
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.