2022
DOI: 10.1002/acp.3914
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Disproven but still believed: The role of information and individual differences in the prediction of topic‐related pseudoscience acceptance

Abstract: The spread of pseudoscience (PS) is a worrying problem worldwide. The study of pseudoscience beliefs and their associated predictors have been conducted in the context of isolated pseudoscience topics (e.g., complementary and alternative medicine). Here, we combined individual differences (IIDD) measures (e.g., personality traits, thinking styles) with measures related with the information received about PS: familiarity and disproving information (DI) in order to explore potential differences among pseudoscien… Show more

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Cited by 7 publications
(13 citation statements)
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“…To the best of our knowledge, this is the first study to experimentally investigate whether the updating of pseudoscientific beliefs is positively biased after receiving supporting and discrediting information from different sources of information. Our results go beyond the identification of which individuals are most likely to show greater adherence to pseudoscience (García-Arch et al, 2022;Rodríguez-Ferreiro & Barberia, 2021;Šrol, 2021;Torres et al, 2020), and suggest that supporting and discrediting information provided by expert practitioners is differently weighted by the non-professional population. Specifically, our work indicates that when receiving feedback from experts about pseudoscientific treatments, people underweight discrediting relative to supporting information.…”
Section: Discussionmentioning
confidence: 71%
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“…To the best of our knowledge, this is the first study to experimentally investigate whether the updating of pseudoscientific beliefs is positively biased after receiving supporting and discrediting information from different sources of information. Our results go beyond the identification of which individuals are most likely to show greater adherence to pseudoscience (García-Arch et al, 2022;Rodríguez-Ferreiro & Barberia, 2021;Šrol, 2021;Torres et al, 2020), and suggest that supporting and discrediting information provided by expert practitioners is differently weighted by the non-professional population. Specifically, our work indicates that when receiving feedback from experts about pseudoscientific treatments, people underweight discrediting relative to supporting information.…”
Section: Discussionmentioning
confidence: 71%
“…To date, the results of this research suggest that there are a variety of cognitive correlates for pseudoscience endorsement mainly rooted in cognitive biases (Bensley et al, 2020). These beliefs have been associated with well-known phenomena such as illusions of causality (Torres et al, 2020), jump-to-conclusions (Rodríguez-Ferreiro & Barberia, 2021), probabilistic reasoning biases (Šrol, 2021); and self-reported measures of intuitive and analytic cognitive styles (García-Arch et al, 2022;Šrol, 2021). Unfortunately, correlational studies fail to account for how pseudoscientific beliefs emerge in the population and therefore remain limited in informing of effective strategies to ameliorate them in society.…”
Section: Introductionmentioning
confidence: 83%
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“…To date, the results of these research works suggest that there is a variety of cognitive correlates for pseudoscience endorsement that are mainly rooted in cognitive biases [ 4 ]. These beliefs have been associated with well-known phenomena such as illusions of causality [ 5 , 6 ], jump-to-conclusions [ 7 ], probabilistic reasoning biases [ 8 ], and self-reported measures of intuitive and analytic cognitive styles [ 8 , 9 ]. Unfortunately, correlational studies fail to account for how pseudoscientific beliefs emerge in the population and therefore remain limited in informing of effective strategies to ameliorate them in society.…”
Section: Introductionmentioning
confidence: 99%