Evidence map›Paper›PMID 34529080›Full record

ArticleTranslational behavioral medicine2021

Online misinformation and vaccine hesitancy.

Renee Garett, Sean D Young

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
–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

102 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. When Deepfakes Meet Herd Immunity: Artificial Intelligence, Vaccine Avoidance, and the Next Infodemic Threat.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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42 more citing papers are in PubMed but not listed here.

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

2 authors.

Renee GarettElevateU, Irvine, CA, USA.
Sean D YoungDepartment of Emergency Medicine, University of California, Irvine, CA 92697, USA.

Funding

Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD PatientsR33AT010606 · NCCIH · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2020 to 2021
$3.5M
Mining real-time social media big data to monitor HIV: Development and Ethical IssuesR01AI132030 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2017 to 2020
$3.4M
HOPE Social Media Intervention for HIV Testing and Studying Social NetworksR01MH106415 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2015 to 2019
$2.9M
NCCIH NIH HHS R33 AT010606NIAID NIH HHS R01 AI132030NIH HHSNIMH NIH HHS MH106415NIMH NIH HHS R01 MH106415
6 · The paper itself

Abstract

Although rates of vaccination have increased worldwide, the rise in nonmedical exemptions for vaccination may have caused a resurgence of childhood vaccine-preventable diseases. Vaccine hesitancy plays an important role in the decreasing rates of vaccination and is considered by the World Health Organization as a top ten global threat to public health. Online vaccine misinformation is present in news outlets, websites, and social media, and its rapid and extensive dissemination is aided by artificial intelligence (AI). In combating online misinformation, public health experts, the medical community, and lay vaccination advocates can correct false statements using language that appeal to those who are undecided about vaccination. As the gatekeepers to online information, they can implement and enforce policy that limits or bans vaccine misinformation on their platforms. AI tools might also be used to address misinformation, but more research is needed before implementing this approach more broadly in health policy. This commentary examines the role that different online platforms appear to be playing in the spread of misinformation about vaccines. We also discuss the implications of online misinformation on attitudes about COVID-19 vaccine uptake and provide suggestions for ways to combat online misinformation.

Indexed as

COVID-19COVID-19 VaccinesArtificial IntelligenceCommunicationHealth PolicyHumansSARS-CoV-2Vaccination HesitancyCOVID-19 VaccinesCOVID-19MediaMisinformationVaccineVaccine hesitancy

Identifiers

PMID34529080
PMCPMC8515268

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.