Evidence map›Paper›PMID 41662258›Full record

ArticlePloS one2026

Debunking misleading graphs effectively: How vocationally educated young adults perceive graphs.

Winnifred Wijnker, Peter Burger, Ionica Smeets, Sanne Willems

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Winnifred WijnkerResearch groups Qualitative Journalism in Digital Transition and Human Experience & Media Design, Utrecht University of Applied Sciences, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0002-5714-7981
Peter BurgerJournalism & New Media, Leiden University, Leiden, the Netherlands.
Ionica SmeetsScience Communication & Society, Leiden University, Leiden, the Netherlands.ORCID https://orcid.org/0000-0003-1743-9493
Sanne WillemsDepartment of Epidemiology and Data Science, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-0000-6387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Misleading graphs can give readers a distorted view of the underlying data. We want to know how to most effectively correct misleading graphs and if it matters whether a correction uses the full-design of the original or a clean design with all embellishment and colors removed. We focus on vocationally educated young adults, a group that is vulnerable to misinformation and has so far been underrepresented in research. We use a mixed-method approach with a qualitative think-aloud task (n = 10, data collected in April 2023) and a quantitative survey (n = 130, data collected between July and October 2023). The think-aloud task showed that vocational students use a combination of calculating and estimating to process graphs, which contradicts existing literature, and that their perception is heavily influenced by context. The survey showed that graph corrections work in reducing misleading effects and also have a learning effect such that students are less misled by new misleading graphs of the same type. There was no difference between full-design and clean design corrections. These results imply that vocationally educated young adults can benefit from seeing corrections of misleading graphs.

Indexed as

PerceptionVocational EducationAdultFemaleHumansMaleStudentsSurveys and QuestionnairesYoung Adult

Identifiers

PMID41662258
PMCPMC12885246

What OpenQuestion holds

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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.