Evidence map›Paper›PMID 41467228›Full record

ArticleJournal of public health research2025

The credibility struggle of mRNA vaccine rumors: A communication model to understand the impact of skepticism on public perception.

Mia-Marie Hammarlin, Fredrik Miegel, Dimitrios Kokkinakis, Jullietta Stoencheva

Abstract read
In one paragraph

Article in Journal of public health research, 2025. 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.

Mia-Marie HammarlinDepartment of Communication, Lund University, Sweden.ORCID https://orcid.org/0000-0001-5338-9134
Fredrik MiegelDepartment of Communication, Lund University, Sweden.
Dimitrios KokkinakisDepartment of Swedish, Multilingualism, and Language Technology, University of Gothenburg, Sweden.
Jullietta StoenchevaSchool of Arts and Communication, Malmö University, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study explores the dynamics of vaccine rumors during the COVID-19 pandemic, particularly those surrounding messenger RNA vaccines. By employing and developing Hallin's communication model of credibility spheres, we analyze how controversial ideas regarding vaccine safety gained public attention and challenged established vaccine narratives. Methods: The focal point of the investigation is the viral spread of a biomedical article from Lund University, which intensified existing vaccine rumors shared on Twitter, that, in turn, the authorities had tried to refute. Through a mixed methods analysis of Swedish-language tweets, reflecting a limited segment of the population's opinions, we highlight persistent skepticism toward mRNA vaccines, characterized by fears of side effects, rushed development, and distrust in pharmaceutical companies. Results: The findings suggest that vaccine skeptics on Twitter leveraged the Lund medical article to legitimize their concerns, aiming to move their arguments from the Sphere of Deviant Vaccine Propositions into the Sphere of Legitimate Public Vaccine Debate, where they could be debated alongside mainstream views. Conclusion: We interpret the possible impact of the mRNA rumors shared on Twitter as an expression of an increasingly populistic society with a decreasing trust in democratic institutions and authorities, in which the constant flow of content via the internet reinforces the credibility of conspiracy theories.

Indexed as

COVID-19Daniel HallinmRNA vaccinepublic debatepublic health communicationsocial mediaTwittervaccine communicationvaccine hesitancyvaccine rumor

Identifiers

PMID41467228
PMCPMC12744166

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.