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Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale.
Argyle, Lisa P; Bail, Christopher A; Busby, Ethan C; Gubler, Joshua R; Howe, Thomas; Rytting, Christopher; Sorensen, Taylor; Wingate, David.
Afiliación
  • Argyle LP; Department of Political Science, Brigham Young University, Provo, UT, 84602.
  • Bail CA; Department of Sociology, Political Science, and Public Policy, Duke University, Durham, NC, 27708.
  • Busby EC; Department of Political Science, Brigham Young University, Provo, UT, 84602.
  • Gubler JR; Department of Political Science, Brigham Young University, Provo, UT, 84602.
  • Howe T; Department of Computer Science, Brigham Young University, Provo, UT, 84602.
  • Rytting C; Department of Computer Science, Brigham Young University, Provo, UT, 84602.
  • Sorensen T; Department of Computer Science, University of Washington, Seattle, WA, 98195.
  • Wingate D; Department of Computer Science, Brigham Young University, Provo, UT, 84602.
Proc Natl Acad Sci U S A ; 120(41): e2311627120, 2023 10 10.
Article en En | MEDLINE | ID: mdl-37788311
ABSTRACT
Political discourse is the soul of democracy, but misunderstanding and conflict can fester in divisive conversations. The widespread shift to online discourse exacerbates many of these problems and corrodes the capacity of diverse societies to cooperate in solving social problems. Scholars and civil society groups promote interventions that make conversations less divisive or more productive, but scaling these efforts to online discourse is challenging. We conduct a large-scale experiment that demonstrates how online conversations about divisive topics can be improved with AI tools. Specifically, we employ a large language model to make real-time, evidence-based recommendations intended to improve participants' perception of feeling understood. These interventions improve reported conversation quality, promote democratic reciprocity, and improve the tone, without systematically changing the content of the conversation or moving people's policy attitudes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Políticas / Lenguaje Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Políticas / Lenguaje Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article