The Misleading count : an identity-based intervention to counter partisan misinformation sharing
Pretus, Clara (Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de les Ciències de la Salut)
Javeed, Ali M. (New York University. Department of Psychology and Center for Neural Science)
Hughes, Diána (New York University. Department of Psychology and Center for Neural Science)
Hackenburg, Kobi (University of London)
Tsakiris, Manos (University of London)
Vilarroya Oliver, Óscar (Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de les Ciències de la Salut)
Van Bavel, Jay J. (New York University. Department of Psychology and Center for Neural Science)

Data:	2024
Resum:	Interventions to counter misinformation are often less effective for polarizing content on social media platforms. We sought to overcome this limitation by testing an identity-based intervention, which aims to promote accuracy by incorporating normative cues directly into the social media user interface. Across three pre-registered experiments in the US (N = 1709) and UK (N = 804), we found that crowdsourcing accuracy judgements by adding a Misleading count (next to the Like count) reduced participants' reported likelihood to share inaccurate information about partisan issues by 25% (compared with a control condition). The Misleading count was also more effective when it reflected in-group norms (from fellow Democrats/Republicans) compared with the norms of general users, though this effect was absent in a less politically polarized context (UK). Moreover, the normative intervention was roughly five times as effective as another popular misinformation intervention (i. e. the accuracy nudge reduced sharing misinformation by 5%). Extreme partisanship did not undermine the effectiveness of the intervention. Our results suggest that identity-based interventions based on the science of social norms can be more effective than identity-neutral alternatives to counter partisan misinformation in politically polarized contexts (e. g. the US). This article is part of the theme issue 'Social norm change: drivers and consequences'.
Ajuts:	European Commission FETPROACT-EIC-05-2019
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Misinformation ; Social media ; Social norms ; Social identity ; Intervention
Publicat a:	Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 379 (march 2024) , ISSN 1471-2970

DOI: 10.1098/rstb.2023.0040
PMID: 38244594

9 p, 843.4 KB

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