"I think this news is accurate": endorsing accuracy decreases the sharing of fake news and increases the sharing of real news

Capraro, Valerio ORCID logoORCID: https://orcid.org/0000-0002-0579-0166 and Celadin, Tatiana (2022) "I think this news is accurate": endorsing accuracy decreases the sharing of fake news and increases the sharing of real news. Personality and Social Psychology Bulletin . ISSN 0146-1672 [Article] (Published online first) (doi:10.1177/01461672221117691)

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Abstract

Accuracy prompts, nudges that make accuracy salient, typically decrease the sharing of fake news, while having little effect on real news. Here, we introduce a new accuracy prompt that is more effective than previous prompts, because it does not only reduce fake news sharing, but it also increases real news sharing. We report four preregistered studies showing that an “endorsing accuracy” prompt (“I think this news is accurate”), placed into the sharing button, decreases fake news sharing, increases real news sharing, and keeps overall engagement constant. We also explore the mechanism through which the intervention works. The key results are specific to endorsing accuracy, rather than accuracy salience, and endorsing accuracy does not simply make participants apply a “source heuristic”. Finally, we use Pennycook et al.’s limited-attention model to argue that endorsing accuracy may work by making people more carefully consider their sharing decisions.

Item Type: Article
Sustainable Development Goals:
Theme:
Keywords (uncontrolled): fake news, misinformation, accuracy salience, policy making
Research Areas: A. > Business School > Economics
Item ID: 35483
Notes on copyright: Capraro, Valerio and Celadin, Tatiana (2022) "I think this news is accurate": Endorsing accuracy decreases the sharing of fake news and increases the sharing of real news. Personality and Social Psychology Bulletin August 2022. doi: pp. xx-xx. Copyright © 2022 by the Society for Personality and Social Psychology, Inc. DOI: 10.1177/01461672221117691
Published version: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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Depositing User: Valerio Capraro
Date Deposited: 26 Jul 2022 14:40
Last Modified: 17 Feb 2023 15:02
URI: https://eprints.mdx.ac.uk/id/eprint/35483

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