Measuring the effects of misinformation exposure and beliefs on behavioural intentions: a COVID-19 vaccination study
de Saint Laurent et al.
Cognitive Research: Principles and Implications
https://doi.org/10.1186/s41235-022-00437-y
(2022) 7:87
Cognitive Research: Principles
and Implications
Open Access
ORIGINAL ARTICLE
Measuring the effects of misinformation
exposure and beliefs on behavioural intentions:
a COVID‑19 vaccination study
Constance de Saint Laurent1, Gillian Murphy2, Karen Hegarty1 and Ciara M. Greene1*
Abstract
Misinformation has been a pressing issue since the beginning of the COVID-19 pandemic, threatening our ability to
effectively act on the crisis. Nevertheless, little is known about the actual effects of fake news on behavioural intentions. Does exposure to or belief in misinformation about COVID-19 vaccines affect people’s intentions to receive such
a vaccine? This paper attempts to address this question via three preregistered experiments (N = 3463). In Study 1,
participants (n = 1269) were exposed to fabricated pro- or anti-vaccine information or to neutral true information, and
then asked about their intentions to get vaccinated. In Study 2, participants (n = 646) were exposed to true pro- and
anti-vaccine information, while Study 3 (n = 1548) experimentally manipulated beliefs in novel misinformation about
COVID-19 vaccines by increasing exposure to the information. The results of these three studies showed that exposure to false information about the vaccines had little effect on participants’ intentions to get vaccinated, even when
multiple exposures led them to believe the headlines to be more accurate. An exploratory meta-analysis of studies 1
and 3, with a combined sample size of 2683, showed that exposure to false information both supporting and opposing COVID-19 vaccines actually increased vaccination intentions, though the effect size was very small. We conclude
by cautioning researchers against equating exposure to misinformation or perceived accuracy of false news with
actual behaviours.
Keywords: Misinformation, Fake news, Vaccine, COVID-19
Significance statement
The advent of the COVID-19 pandemic has drawn additional attention to the problem of online misinformation.
This is particularly evident when we consider the potential consequences of misinformation for important health
behaviours such as vaccination. It may therefore be surprising to learn that there is little evidence available about
the direct effects of misinformation exposure on behaviour, as most research has focussed on belief in or willingness to share “fake news”. In this paper, we describe three
experiments evaluating the effects of exposure to proand anti-vaccine information on participants’ intention
to get a COVID vaccine. We report that a single exposure
to a piece of true or false information about vaccination
did not significantly affect participants’ willingness to
get vaccinated. In Experiment 3, we report that showing participants the same piece of misinformation on
multiple occasions increased their belief in the information, but still did not affect their behavioural intentions.
Our results suggest that the relationship between exposure to, belief in and behavioural response to fake news
is not straightforward. It is critical to understand when
and how misinformation might affect individual or public
behaviour, so that efforts to counteract it can be targeted
where they are needed.
*Correspondence:
1
School of Psychology, University College Dublin, Dublin, Ireland
Full list of author information is available at the end of the article
© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
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de Saint Laurent et al. Cognitive Research: Principles and Implications
Introduction
While the COVID-19 pandemic has undeniably been
accompanied by an impressive amount of misinformation—spreading faster and further than the disease itself
(Depoux et al., 2020)—it is difficult to estimate the scale
of the issue. There are, however, indirect signs: Between
January and March 2020, for instance, the number of
COVID-19 fact-checks available in English increased by
900% (Brennen et al., 2020). On Twitter, analyses of the
URLs in COVID-related tweets have also shown that
unreliable websites receive more attention than highquality health websites, although mainstream media
retains the lion’s share (Singh et al., 2020). More worryingly, studies have shown that endorsement of misinformation is correlated with lower adherence to safety
guidelines and reduced vaccination intentions (e.g. Earnshaw et al., 2020; ), as well as increased intentions to use
unproven treatments (e.g. Bertin et al., 2020; Teovanović
et al., 2021).
In this context, it is often assumed that the relationships between exposure to misinformation, inaccurate
beliefs and behaviour are causal. It makes intuitive sense
that being exposed to fake news would make it more
likely that an individual will believe the misinformation
contained in it and act accordingly, but is it really that
easy to convince people to refuse a vaccine or to take an
unproven treatment like Ivermectin? Decades of research
on persuasion, attitudes, and behaviour have demonstrated that persuasion is difficult, and the relationship
between attitudes and behaviour is complicated at best
(Crano & Prislin, 2006; Wood, 2000). Surprisingly, very
few studies have looked at the effects of misinformation exposure on behaviours, beyond intentions to share
information on social media. While sharing behaviours
certainly contribute to the spread of fake news, it does
not follow that such news is always taken literally or
acted upon. People share misinformation for all kinds of
reasons—from a desire to warn or educate others to signalling political ideology—and comments on false news
shared on social media show that it is most often disbelieved (Metzger et al., 2021).
To the best of our knowledge, only two studies have
explored the consequences of fake news on real-world
behaviours, both by looking at geographical patterns.
Cantarella et al. (2019) used linguistic differences in
South Tyrol in Italy to estimate how much misinformation the inhabitants of specific geographical areas were
exposed to and whether it led to populist voting. They
concluded that (...truncated)