Cited by 31Communication and COVID-19 ImpactRisk Perception and ManagementPublic Relations and Crisis Communication

The DOI matches its Crossref record.

COVID lesson: trust the public with hard truths

Overview

Integrity signals

Registry

Crossref · 10.1038/d41586-021-02758-2

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Communicating uncertainty can promote trust in science.

    “even though communicating uncertainty can promote trust in science 131-133 (though see ref. 134 )”

    From Predictors and consequences of intellectual humility (2022) · cites this paper as [134]

  • News media typically avoid reporting areas of uncertainty or ambiguity in favour of definitive stories.

    “News media also typically avoid reporting areas of uncertainty or ambiguity in favour of definitive stories”

    From Predictors and consequences of intellectual humility (2022) · cites this paper as [134]

Citations

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Metadata

Authors
Petersen, M. B.
Affiliations
Aarhus University (DK)
Corresponding author
Petersen, Michael Bang
Venue
Nature
Published
2021-10-12
Volume
598
Issue
7880
Pages
237-237
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W3205930051
Cited by
31
References
0
Citations by year
2026: 1 · 2025: 4 · 2024: 5 · 2023: 11 · 2022: 9 · 2021: 1
FWCI
8.55
Type
journal article
Language
en
Open access
closed
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Communication › Communication and COVID-19 Impact
  • Social Sciences › Sociology and Political Science › Risk Perception and Management
  • Social Sciences › Communication › Public Relations and Crisis Communication
Keywords
COVID-19 pandemic, public trust, government communication, panic, pandemic response, science communication
MeSH terms
COVID-19, COVID-19 Vaccines, Aged, Aged, 80 and over, Denmark, Fear, Female, Humans, Male, Middle Aged, Policy Making, Politics, Public Opinion, Immunization Programs, Self Efficacy, Federal Government, Trust

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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.

Statistics and arithmetic are recomputed, not judged.

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