Evidence map›Paper›PMID 39206222›Full record

ArticlePEC innovation2024

HPV vaccine misinformation on social media: A multi-method qualitative analysis of comments across three platforms.

Dannell Boatman, Zachary Jarrett, Abby Starkey, Mary Ellen Conn, Stephenie Kennedy-Rea

Abstract readAddress
In one paragraph

Article in PEC innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

5 authors.

Dannell BoatmanWest Virginia University School of Medicine, Department of Cancer Prevention & Control, United States of America.
Zachary JarrettWest Virginia University School of Medicine, Department of Cancer Prevention & Control, United States of America.
Abby StarkeyWest Virginia University School of Medicine, Department of Cancer Prevention & Control, United States of America.
Mary Ellen ConnWest Virginia University School of Medicine, Department of Cancer Prevention & Control, United States of America.
Stephenie Kennedy-ReaWest Virginia University School of Medicine, Department of Cancer Prevention & Control, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective The purpose of this study was to characterize similarities and differences in HPV vaccine misinformation narratives present in the comment sections of top-performing initial creator posts across three social media platforms. Methods A qualitative multi-method design was used to analyze comments collected from social media posts. A sample of 2996 comments were used for thematic analysis (identifying similar themes) and content analysis (identifying differences in comment type, opinion, and misinformation status). Results Misinformation was pervasive in comment sections. Cross-cutting misinformation themes included adverse reactions, unnecessary vaccine, conspiracy theories, and mistrust of authority. The proportion of comments related to these themes varied by platform. Initial creator posts crafted to be perceived as educational or with an anti-vaccine opinion had a higher proportion of misinformation in the comment sections. Facebook had the highest proportion of misinformation comments. Conclusion Differences in the proportion of cross-cutting themes in the comment sections across platforms suggests the need for targeted communication strategies to counter misinformation narratives and support vaccine uptake. Innovation This study is innovative due to its characterization of misinformation themes across three social media platforms using multiple qualitative methods to assess similarities and differences and focusing on conversations occurring within the comment sections.

Indexed as

cancer preventionHPVinfodemiologymisinformationsocial mediavaccines

Identifiers

PMID39206222
PMCPMC11350258

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.