Evidence map›Paper›PMID 33452666›Full record

ArticleMemory & cognition2021

Can you believe it? An investigation into the impact of retraction source credibility on the continued influence effect.

Ullrich K H Ecker, Luke M Antonio

Abstract read
In one paragraph

Article in Memory & cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  13. Cancer: A model topic for misinformation researchers.Current opinion in psychology · 2024
    Review
  14. Article
  15. Article
  16. Examining the replicability of backfire effects after standalone corrections.Cognitive research: principles and implications · 2023
    Article
  17. Combining refutations and social norms increases belief change.Quarterly journal of experimental psychology (2006) · 2023
    Article
  18. Article
  19. Article
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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

2 authors.

Ullrich K H EckerSchool of Psychological Science (M304), University of Western Australia, 35 Stirling Hwy, Perth, 6009, Australia. ullrich.ecker@uwa.edu.au.ORCID http://orcid.org/0000-0003-4743-313X
Luke M AntonioSchool of Psychological Science (M304), University of Western Australia, 35 Stirling Hwy, Perth, 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continued influence effect refers to the finding that people often continue to rely on misinformation in their reasoning even if the information has been retracted. The present study aimed to investigate the extent to which the effectiveness of a retraction is determined by its credibility. In particular, we aimed to scrutinize previous findings suggesting that perceived trustworthiness but not perceived expertise of the retraction source determines a retraction's effectiveness, and that continued influence arises only if a retraction is not believed. In two experiments, we found that source trustworthiness but not source expertise indeed influences retraction effectiveness, with retractions from low-trustworthiness sources entirely ineffective. We also found that retraction belief is indeed a predictor of continued reliance on misinformation, but that substantial continued influence effects can still occur with retractions designed to be and rated as highly credible.

Indexed as

CommunicationLanguageAdolescentAdultFemaleHumansMaleMiddle AgedProblem SolvingRetrospective StudiesYoung AdultContinued influence effectExpertiseMisinformationPersuasionSource credibilityTrustworthiness

Identifiers

PMID33452666
PMCPMC7810102

What OpenQuestion holds

Textmetadata
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.