Evidence map›Paper›PMID 39554512›Full record

ArticlePNAS nexus2024

Continued influence of false accusations in forming impressions of political candidates.

Michael S Cohen, Victoria Halewicz, Ece Yildirim, Joseph W Kable

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Michael S CohenDepartment of Psychology, University of Pennsylvania, 425 S. University Ave., Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0002-0317-7050
Victoria HalewiczDepartment of Psychology, University of Pennsylvania, 425 S. University Ave., Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0003-0960-5332
Ece YildirimDepartment of Psychology, University of Pennsylvania, 425 S. University Ave., Philadelphia, PA 19104, USA.
Joseph W KableDepartment of Psychology, University of Pennsylvania, 425 S. University Ave., Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0001-6495-9040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous work has shown that false information affects decision-making even after being corrected, a phenomenon known as "continued influence effects" (CIEs). Using mock social media posts about fictional political candidates, we observe robust within-participant CIEs: candidates targeted by corrected accusations are rated more poorly than candidates not targeted by allegations. These effects occur both immediately and after as much as a 2-day delay. We further demonstrate that vulnerability to CIEs in a political context varies systematically between individuals. We found that certain groups are more susceptible to CIEs on immediate candidate ratings (i) those who rely more on intuitive feelings, (ii) those with lower digital literacy knowledge, and (iii) younger individuals. These individuals' judgments appear to be relatively more influenced by the refuted accusations and/or less influenced by the factual refutations. Interestingly, political orientation did not affect CIEs, despite its influence on explicitly identifying misinformation. Moreover, people recalled accusation stimuli better than refutations at a delay, suggesting that emotions may drive the prioritized processing of accusations. Our results indicate that analytic thinking could be protective when people judge political candidates targeted by refuted false information.

Indexed as

analytic thinkingcontinued influence effectdigital literacyindividual differencesmisinformation

Identifiers

PMID39554512
PMCPMC11565410

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.