Cited by 1,232Misinformation and Its ImpactsVaccine Coverage and HesitancyRisk Perception and Management

The DOI matches its Crossref record; 47 of the 49 references it cites were found in a registry or an index; none of the 32 sources its claims cite is checked for support yet.

The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions

Open access

Abstract

The current studies investigated the potential impact of anti-vaccine conspiracy beliefs, and exposure to anti-vaccine conspiracy theories, on vaccination intentions. In Study 1, British parents completed a questionnaire measuring beliefs in anti-vaccine conspiracy theories and the likelihood that they would have a fictitious child vaccinated. Results revealed a significant negative relationship between anti-vaccine conspiracy beliefs and vaccination intentions. This effect was mediated by the perceived dangers of vaccines, and feelings of powerlessness, disillusionment and mistrust in authorities. In Study 2, participants were exposed to information that either supported or refuted anti-vaccine conspiracy theories, or a control condition. Results revealed that participants who had been exposed to material supporting anti-vaccine conspiracy theories showed less intention to vaccinate than those in the anti-conspiracy condition or controls. This effect was mediated by the same variables as in Study 1. These findings point to the potentially detrimental consequences of anti-vaccine conspiracy theories, and highlight their potential role in shaping health-related behaviors.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Two studies show that anti-vaccine conspiracy beliefs and exposure to anti-vaccine conspiracy material are associated with lower intentions to vaccinate a fictitious child. These effects were mediated by perceived vaccine dangers, powerlessness, disillusionment, and mistrust in authorities.

Key findings

  • In Study 1, anti-vaccine conspiracy beliefs significantly negatively predicted vaccination intentions, \(F(1, 87) = 15.97, p < .001, R^2 = .16, \beta = -.63\). Perceived dangers of vaccines, powerlessness, disillusionment, and trust in authorities each significantly mediated this relationship.
  • In Study 2, vaccination intentions were significantly lower in the pro-conspiracy condition (\(M = 4.87, SD = 1.74\)) than in the anti-conspiracy condition (\(M = 5.69, SD = 1.31, p = .003\)) and the control condition (\(M = 5.47, SD = 1.50, p = .028\)), overall \(F(2, 185) = 4.81, p = .009, \eta^2 = .05\).
  • The manipulation check showed higher endorsement of anti-vaccine conspiracy theories in the pro-conspiracy condition (\(M = 4.11, SD = 1.41\)) than the anti-conspiracy condition (\(M = 2.93, SD = 1.14, p < .001\)) and control condition (\(M = 3.56, SD = 1.21, p = .014\)).
  • Perceived vaccine dangers consistently mediated the effects; powerlessness and disillusionment mediated the pro- versus anti-conspiracy difference, and trust in authorities mediated the pro-conspiracy versus control difference.

Methods

  • Study 1 used a correlational online questionnaire with 89 British parents (\(80\) women, \(9\) men; \(M\) age \(= 38.06, SD = 9.25\)). Participants completed measures of anti-vaccine conspiracy beliefs, perceived dangers, powerlessness, disillusionment, trust in authorities, and intention to vaccinate a fictitious 8-month-old child against a made-up disease, dysomeria.
  • Study 2 recruited 246 U.S. MTurk participants, with a final analyzed sample of 188 after screening exclusions. Participants were randomly assigned to pro-conspiracy, anti-conspiracy, or control information, then completed the same mediator measures and vaccination intention measure.
  • Both studies used bootstrapping mediation analyses with 5000 bootstrap samples; Study 2 used ANOVA and indicator-coded mediation to compare the three conditions.

Limitations

  • The paper states that effect sizes were small (e.g., \(\eta^2 = .05\) in Study 2), conspiracy endorsement was generally around or below the midpoint except in the pro-conspiracy condition (\(M = 4.11\)), the mediation pattern was less clear in Study 2, and findings relied on self-reported intentions for a fictional child and made-up disease rather than actual vaccination behavior.
  • The paper notes that future research should examine larger samples, actual vaccination behavior, additional or isolated mediators, and geographical areas with dangerously low vaccination uptake.
  • Evident from the text: Study 1 is correlational and cannot establish causality, and both studies use hypothetical vaccination scenarios, which may limit ecological validity.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0089177

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

0 of 32 cited sources checked · 0 supported · 0 flagged

Show all 66 claims

  • Probably not a substantial claim. 18
  • It may state two separate claims as one. 9
  • The quote only partly states this claim. 2
24 of 24
  • The paper relies on this without support.

    The measured mediators (perceived vaccine dangers, powerlessness, disillusionment, and trust in authorities) are causally prior to and influence vaccination intentions, as required for the mediation analysis.

    “Each of the candidate mediators was then examined in a test of mediation in order to explain the effect of the conspiracy conditions (pro-conspiracy versus anti-conspiracy, versus control) on vaccination intentions.”
1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentχ²(136) = 4544.44reported p < .001 · recomputed p < .001

    “X 2 (136) = 4544.44, p < .001”

  • ConsistentF(1, 87) = 15.97reported p < .001 · recomputed p < .001

    “F(1, 87) = 15.97, p < .001”

  • ConsistentF(5, 83) = 120.37reported p < .001 · recomputed p < .001

    “F(5, 83) = 120.37, p < .001”

  • ConsistentF(5, 83) = 41.7reported p < .001 · recomputed p < .001

    “F(5, 83) = 41.70, p < .001”

  • ConsistentF(5, 83) = 74.43reported p < .001 · recomputed p < .001

    “F(5, 83) = 74.43, p < .001”

  • ConsistentF(5, 83) = 23reported p < .001 · recomputed p < .001

    “F(5, 83) = 23.00, p < .001”

  • ConsistentF(2, 185) = 4.81reported p = .009 · recomputed p = .009

    “F(2, 185) = 4.81, p = .009”

  • ConsistentF(2, 185) = 7.61reported p = .001 · recomputed p < .001

    “F(2, 185) = 7.61, p = .001”

  • ConsistentF(2, 185) = 3.44reported p = .034 · recomputed p = .034

    “F(2, 185) = 3.44, p = .034”

  • ConsistentF(2, 185) = 7.46reported p = .001 · recomputed p < .001

    “F(2, 185) = 7.46, p = .001”

  • ConsistentF(2, 185) = 2.32reported p = .1 · recomputed p = .101

    “F(2, 185) = 2.32, p = .10”

11 of 11

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Table 1 gives two values for the same intention-danger correlation

    Minor

    The intention row reports its correlation with dangers as −.49, while the dangers row reports the same correlation as −.48.

  • Study 1 regression t and F statistics disagree

    Minor

    For a regression with one predictor, F equals t squared. The reported t of −3.10 gives F = 9.61, not 15.97.

    Reported 15.97 · recomputed 9.61

  • Table 1 gives two values for the same danger-disillusionment correlation

    Minor

    The dangers row reports the correlation with disillusionment as .60, while the disillusionment row reports it as .59.

  • Study 1 standardized coefficient conflicts with its correlation

    Minor

    In a regression with one predictor, the standardized coefficient β equals the predictor-outcome correlation. The regression reports β = −.63, while Table 1 reports −.40.

  • Study 1 mediator regressions have incompatible degrees of freedom

    Minor

    The text describes four separate regressions, each with anti-vaccine conspiracy beliefs as the predictor and one mediator as the outcome. Each would have one predictor degree of freedom, not the reported five.

5 of 5

Citations

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Metadata

Authors
Jolley, D., & Douglas, K. M.
Affiliations
University of Kent (GB)
Corresponding author
  • Jolley, Daniel
  • Douglas, Karen M.
Venue
PLoS ONE
Published
2014-02-20
Volume
9
Issue
2
Pages
e89177
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2016520072
Cited by
1,232
References
49
Citations by year
2026: 68 · 2025: 92 · 2024: 116 · 2023: 147 · 2022: 225 · 2021: 232 · 2020: 147 · 2019: 51 · 2018: 72 · 2017: 39 · 2016: 19 · 2015: 18 · 2014: 6
FWCI
89.08
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Staffordshire Online Repository (Staffordshire University) (acceptedVersion)
  • Northumbria Research Link (Northumbria University) (acceptedVersion)
  • Kent Academic Repository (University of Kent) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Health › Vaccine Coverage and Hesitancy
  • Social Sciences › Sociology and Political Science › Risk Perception and Management
Keywords
vaccination intention, vaccine hesitancy, powerlessness, misinformation exposure, health behavior, parents
MeSH terms
Adult, Child, Preschool, Culture, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Surveys and Questionnaires, Vaccination, Vaccines, Intention

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