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The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions

Overview of attention for article published in PLOS ONE, February 2014
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Title
The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0089177
Pubmed ID
Authors

Daniel Jolley, Karen M. Douglas

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.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,024 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
France 1 <1%
India 1 <1%
Unknown 1017 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 199 19%
Student > Master 174 17%
Student > Ph. D. Student 108 11%
Researcher 88 9%
Student > Doctoral Student 43 4%
Other 156 15%
Unknown 256 25%
Readers by discipline Count As %
Psychology 215 21%
Social Sciences 145 14%
Medicine and Dentistry 102 10%
Nursing and Health Professions 44 4%
Agricultural and Biological Sciences 29 3%
Other 194 19%
Unknown 295 29%