Evidence map›Paper›PMID 42271135›Full record

ArticleScientific reports2026

Authors' academic but not personal expertise or gender affect message credibility in science communication.

Annalena Ulsperger, Lara Pfannenschwarz, Clara Schetla, Karen Poletilo, Lina Strecker, Marlene Egner, Joachim Kimmerle

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Annalena UlspergerLeibniz Institut für Wissensmedien (IWM), Tübingen, Germany. a.ulsperger@iwm-tuebingen.de.
Lara PfannenschwarzUniversity of Tübingen, Tübingen, Germany.
Clara SchetlaUniversity of Tübingen, Tübingen, Germany.
Karen PoletiloUniversity of Tübingen, Tübingen, Germany.
Lina StreckerUniversity of Tübingen, Tübingen, Germany.
Marlene EgnerUniversity of Tübingen, Tübingen, Germany.
Joachim KimmerleLeibniz Institut für Wissensmedien (IWM), Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating message credibility is critical for understanding scientific information and informed decision making. People's ability to assess the credibility of science communication texts is influenced by several factors. In three experiments, we examined the impact of authors' gender as well as different types of expertise on readers' credibility perceptions. In Experiment 1 (n = 203), we varied authors' alleged gender and expertise. We found that a text allegedly written by a high-expertise author was rated as more credible than the same text by a low-expertise author. There was no effect of authors' gender. Experiment 2 (n = 182) was a replication of the first study with a different sample. We did not find any effects of gender or expertise on perceived message credibility. In Experiment 3 (n = 206), we differentiated between academic and personal expertise and manipulated these types of expertise independently. The data indicated that academic expertise was a significant positive predictor of perceived message credibility, while personal expertise was not. We discuss these findings in terms of their significance for the trustworthiness of science communication and examine the relevance of differentiating the concept of expertise in this context.

Indexed as

AuthorshipCommunicationProfessional CompetenceScienceAcademiaAdultFemaleHumansMaleSex FactorsTrustAcademic expertiseCredibilityExpertisePersonal expertiseScience communication

Identifiers

PMID42271135
PMCPMC13253843

What OpenQuestion holds

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LicenceCC BY
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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.