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Dynamics of cross-platform attention to retracted papers.
Peng, Hao; Romero, Daniel M; Horvát, Emoke-Ágnes.
Afiliação
  • Peng H; School of Information, University of Michigan, Ann Arbor, MI 48109.
  • Romero DM; School of Information, University of Michigan, Ann Arbor, MI 48109.
  • Horvát EÁ; Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109.
Proc Natl Acad Sci U S A ; 119(25): e2119086119, 2022 Jun 21.
Article em En | MEDLINE | ID: mdl-35700358
Retracted papers often circulate widely on social media, digital news, and other websites before their official retraction. The spread of potentially inaccurate or misleading results from retracted papers can harm the scientific community and the public. Here, we quantify the amount and type of attention 3,851 retracted papers received over time in different online platforms. Comparing with a set of nonretracted control papers from the same journals with similar publication year, number of coauthors, and author impact, we show that retracted papers receive more attention after publication not only on social media but also, on heavily curated platforms, such as news outlets and knowledge repositories, amplifying the negative impact on the public. At the same time, we find that posts on Twitter tend to express more criticism about retracted than about control papers, suggesting that criticism-expressing tweets could contain factual information about problematic papers. Most importantly, around the time they are retracted, papers generate discussions that are primarily about the retraction incident rather than about research findings, showing that by this point, papers have exhausted attention to their results and highlighting the limited effect of retractions. Our findings reveal the extent to which retracted papers are discussed on different online platforms and identify at scale audience criticism toward them. In this context, we show that retraction is not an effective tool to reduce online attention to problematic papers.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article