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

Douglas MacFarlane, Li Qian Tay, Mark J. Hurlstone, Ullrich K.H. Ecker

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)248-258
Number of pages11
JournalJournal of Applied Research in Memory and Cognition
Volume10
Issue number2
Early online date29 Dec 2020
DOIs
Publication statusPublished - Jun 2021

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  • (How) should we address misinformation?

    Tay, L. Q., 2023, (Unpublished)

    Research output: ThesisDoctoral Thesis

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