Evidence map›Paper›PMID 42696529›Full record

ArticleJMIR infodemiology2026

Misinformation Through the Lens of Dutch News Media and Public Health Authorities: Content Analysis of Topics and Narratives Present in Pandemic-Related Misinformation During COVID-19.

David Blanco-Herrero, Bas van den Putte, Toni G L A van der Meer

Abstract read
In one paragraph

Article in JMIR infodemiology, 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

3 authors.

David Blanco-HerreroDepartment of Communication Science, Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, Amsterdam, North Holland, The Netherlands, +31 639348327.ORCID http://orcid.org/0000-0002-7414-2998
Bas van den PutteDepartment of Communication Science, Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, Amsterdam, North Holland, The Netherlands, +31 639348327.ORCID http://orcid.org/0000-0002-3635-6880
Toni G L A van der MeerDepartment of Communication Science, Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, Amsterdam, North Holland, The Netherlands, +31 639348327.ORCID http://orcid.org/0000-0002-7605-2021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: One of the multiple challenges associated with misinformation is its risk of hindering public health efforts during a health crisis. Misinformation can cover a diversity of thematic topics and is usually spread using a series of nontopic-specific recurring narrative structures. Identifying these 2 misinformation features helps to understand underlying structures and patterns through which misleading information can take shape or be circulated. Objective: The goal of the study is to obtain a complete overview of the topics and narratives of pandemic-related misinformation cases addressed by 2 key information providers during the COVID-19 pandemic in the Netherlands: news media and public health authorities. Methods: A quantitative content analysis was conducted on 698 news articles and 1333 tweets published between January 2020 and May 2023. Results: The study revealed that vaccine-related misinformation, both in terms of topics and narratives, was the most frequently addressed type of misinformation across both sources. The topics and narratives evolved along the pandemic, with the virus origin and danger being more predominant in the misinformation addressed in the early phases and the vaccines gaining presence around 2021. Conclusions: In total, the study revealed the dominance of vaccine-related narratives as well as the change of misinformation features over time. The deeper understanding of misinformation topics and narratives can inform communication strategies to counter its effects, focusing on the appropriate topics and narrative structures in different moments.

Indexed as

CommunicationCOVID-19Mass MediaPublic HealthHumansMedia ExposureNarrationNetherlandsPandemicsSARS-CoV-2agenda-settingcontent analysisCOVID-19 pandemicpublic health misinformationvaccines

Identifiers

PMID42696529
PMCPMC13544416

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.