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Shifting attention to accuracy can reduce misinformation online.
Pennycook, Gordon; Epstein, Ziv; Mosleh, Mohsen; Arechar, Antonio A; Eckles, Dean; Rand, David G.
Afiliação
  • Pennycook G; Hill/Levene Schools of Business, University of Regina, Regina, Saskatchewan, Canada. gordon.pennycook@uregina.ca.
  • Epstein Z; Department of Psychology, University of Regina, Regina, Saskatchewan, Canada. gordon.pennycook@uregina.ca.
  • Mosleh M; Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Arechar AA; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Eckles D; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Rand DG; Department of SITE (Science, Innovation, Technology, and Entrepreneurship), University of Exeter Business School, Exeter, UK.
Nature ; 592(7855): 590-595, 2021 Apr.
Article em En | MEDLINE | ID: mdl-33731933
ABSTRACT
In recent years, there has been a great deal of concern about the proliferation of false and misleading news on social media1-4. Academics and practitioners alike have asked why people share such misinformation, and sought solutions to reduce the sharing of misinformation5-7. Here, we attempt to address both of these questions. First, we find that the veracity of headlines has little effect on sharing intentions, despite having a large effect on judgments of accuracy. This dissociation suggests that sharing does not necessarily indicate belief. Nonetheless, most participants say it is important to share only accurate news. To shed light on this apparent contradiction, we carried out four survey experiments and a field experiment on Twitter; the results show that subtly shifting attention to accuracy increases the quality of news that people subsequently share. Together with additional computational analyses, these findings indicate that people often share misinformation because their attention is focused on factors other than accuracy-and therefore they fail to implement a strongly held preference for accurate sharing. Our results challenge the popular claim that people value partisanship over accuracy8,9, and provide evidence for scalable attention-based interventions that social media platforms could easily implement to counter misinformation online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção / Internet / Disseminação de Informação / Desinformação / Julgamento Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção / Internet / Disseminação de Informação / Desinformação / Julgamento Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article