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Refuting Spurious COVID-19 Treatment Claims Reduces Demand and Misinformation Sharing.


ABSTRACT: The COVID-19 pandemic has seen a surge of health misinformation, which has had serious consequences including direct harm and opportunity costs. We investigated (N = 678) the impact of such misinformation on hypothetical demand (i.e., willingness-to-pay) for an unproven treatment, and propensity to promote (i.e., like or share) misinformation online. This is a novel approach, as previous research has used mainly questionnaire-based measures of reasoning. We also tested two interventions to counteract the misinformation, contrasting a tentative refutation based on materials used by health authorities with an enhanced refutation based on best-practice recommendations. We found prior exposure to misinformation increased misinformation promotion (by 18%). Both tentative and enhanced refutations reduced demand (by 18% and 25%, respectively) as well as misinformation promotion (by 29% and 55%). The fact that enhanced refutations were more effective at curbing promotion of misinformation highlights the need for debunking interventions to follow current best-practice guidelines.

SUBMITTER: MacFarlane D 

PROVIDER: S-EPMC7771267 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Refuting Spurious COVID-19 Treatment Claims Reduces Demand and Misinformation Sharing.

MacFarlane Douglas D   Tay Li Qian LQ   Hurlstone Mark J MJ   Ecker Ullrich K H UKH  

Journal of applied research in memory and cognition 20201229 2


The COVID-19 pandemic has seen a surge of health misinformation, which has had serious consequences including direct harm and opportunity costs. We investigated (<i>N</i> = 678) the impact of such misinformation on hypothetical demand (i.e., willingness-to-pay) for an unproven treatment, and propensity to promote (i.e., like or share) misinformation online. This is a novel approach, as previous research has used mainly questionnaire-based measures of reasoning. We also tested two interventions t  ...[more]

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