Susceptibility to misinformation about COVID-19 vaccines: A signal detection analysis

Abstract

An analysis drawing on Signal Detection Theory suggests that people may fall for misinformation because they are unable to discern true from false information (truth insensitivity) or because they tend to accept information with a particular slant regardless of whether it is true or false (belief bias). Three preregistered experiments with participants from the United States and the United Kingdom (N = 961) revealed that (i) truth insensitivity in responses to (mis)information about COVID-19 vaccines differed as a function of prior attitudes toward COVID-19 vaccines; (ii) participants exhibited a strong belief bias favoring attitude-congruent information; (iii) truth insensitivity and belief bias jointly predicted acceptance of false information about COVID-19 vaccines, but belief bias was a much stronger predictor; (iv) cognitive elaboration increased truth sensitivity without reducing belief bias; and (v) higher levels of confidence in one's beliefs were associated with greater belief bias. The findings provide insights into why people fall for misinformation, which is essential for individual-level interventions to reduce susceptibility to misinformation.