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Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale

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...

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Detalles Bibliográficos
Autores principales: Argyle, Lisa P., Bail, Christopher A., Busby, Ethan C., Gubler, Joshua R., Howe, Thomas, Rytting, Christopher, Sorensen, Taylor, Wingate, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576030/
https://www.ncbi.nlm.nih.gov/pubmed/37788311
http://dx.doi.org/10.1073/pnas.2311627120
Descripción
Sumario: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.