Cited by 89Mobile Crowdsensing and CrowdsourcingDecision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies

Tapping into the wisdom of the crowd—with confidence

Open access
Hertwig, Ralph·2012·Science

Abstract

The subjective confidence of individuals in groups can be a valid predictor of accuracy in decision-making tasks.

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Registry

Crossref · 10.1126/science.1221403

Cites

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  • High confidence is an indicator of accuracy when judgments are independent but becomes an indicator of consensus when social influence takes place.

    “Therefore, high confidence is an indicator of accuracy when judgments are independent but becomes an indicator of consensus when social influence takes place [43], [44].”

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References 12 · Cited by 89

Authors
Hertwig, R.
Affiliations
University of Basel (CH)
Corresponding author
Hertwig, Ralph
Venue
Science
Published
2012-04-20
Volume
336
Issue
6079
Pages
303-304
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2171060787
Cited by
89
References
12
Citations by year
2026: 3 · 2025: 6 · 2024: 6 · 2023: 11 · 2022: 10 · 2021: 13 · 2020: 10 · 2019: 3 · 2018: 4 · 2017: 5 · 2016: 2 · 2015: 4 · 2014: 5 · 2013: 6 · 2012: 1
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • Max Planck Digital Library (submittedVersion, other-oa)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Social Sciences › Safety Research › Experimental Behavioral Economics Studies
Keywords
wisdom of crowds, subjective confidence, group decision making, prediction accuracy, confidence judgments, collective intelligence
MeSH terms
Decision Making, Female, Group Processes, Humans, Interpersonal Relations, Male

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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