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Neural signals predict information sharing across cultures.
Chan, Hang-Yee; Scholz, Christin; Cosme, Danielle; Martin, Rebecca E; Benitez, Christian; Resnick, Anthony; Carreras-Tartak, José; Cooper, Nicole; Paul, Alexandra M; Falk, Emily B.
Afiliación
  • Chan HY; Department of Marketing, King's Business School, King's College London, London WC2B 4BG, United Kingdom.
  • Scholz C; Amsterdam School of Communication Research, University of Amsterdam, Amsterdam 1018 WV, The Netherlands.
  • Cosme D; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Martin RE; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Benitez C; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Resnick A; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Carreras-Tartak J; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Cooper N; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Paul AM; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
  • Falk EB; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104.
Proc Natl Acad Sci U S A ; 120(44): e2313175120, 2023 Oct 31.
Article en En | MEDLINE | ID: mdl-37871199
Information sharing influences which messages spread and shape beliefs, behavior, and culture. In a preregistered neuroimaging study conducted in the United States and the Netherlands, we demonstrate replicability, predictive validity, and generalizability of a brain-based prediction model of information sharing. Replicating findings in Scholz et al., Proc. Natl. Acad. Sci. U.S.A. 114, 2881-2886 (2017), self-, social-, and value-related neural signals in a group of individuals tracked the population sharing of US news articles. Preregistered brain-based prediction models trained on Scholz et al. (2017) data proved generalizable to the new data, explaining more variance in population sharing than self-report ratings alone. Neural signals (versus self-reports) more reliably predicted sharing cross-culturally, suggesting that they capture more universal psychological mechanisms underlying sharing behavior. These findings highlight key neurocognitive foundations of sharing, suggest potential target mechanisms for interventions to increase message effectiveness, and advance brain-as-predictor research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos