Evidence map›Paper›PMID 40607109›Full record

ArticleMayo Clinic proceedings. Digital health2025

Using Social Media to Combat Influenza Vaccine Misinformation and Improve Uptake: A Social Media Campaign and Repeated Cross-sectional Survey Analysis.

Jessica B Steier

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

1 author.

Jessica B SteierUnbiased Science LLC, Pelham, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To combat influenza (flu)-vaccine misinformation and improve vaccine uptake using social media. Patients and Methods: Unbiased Science used an online survey to identify flu vaccine-hesitant demographic groups and their specific objections to vaccination. Targeted educational content was then created and deployed through a variety of media formats, including podcasts, newsletters, reels, and infographics. A postcampaign survey determined the proportion of individuals who changed their minds about vaccination as a result of the educational content. The study was conducted between October 28, 2022 and February 7, 2023. Results: In 3626 precampaign surveys, 187 individuals (5.1%) reported being unvaccinated and not planning to get the flu vaccine (the unvaccinated group). Multivariable analysis showed that geographic region (Northeast and Southeast), gender identity (male and other), race-ethnicity (non-Hispanic Black, and non-Hispanic other), and education level (high-school or less and some college) were independently associated with being unvaccinated. The main reasons were needlephobia, dismissal of flu severity, and concerns about vaccine components, multiple vaccines, and side effects. In 838 postcampaign surveys, 39 individuals (4.7%) indicated changing their mind about vaccination: of these, 27 (69.2%) said they were more likely to get vaccinated and 22 (56.4%) had gotten vaccinated. Twenty individuals (51.3%) said they changed their mind at least in part because of the targeted educational content. Conclusion: Social media has the potential to change attitudes and behaviors around vaccination. When science messaging is deployed across several platforms and targeted to key demographic characteristics, it has the ability to combat misinformation and influence vaccine uptake.

Identifiers

PMID40607109
PMCPMC12213263

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.