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

Author:

Argyle Lisa P.1ORCID,Bail Christopher A.2,Busby Ethan C.1ORCID,Gubler Joshua R.1ORCID,Howe Thomas3,Rytting Christopher3ORCID,Sorensen Taylor4ORCID,Wingate David3ORCID

Affiliation:

1. Department of Political Science, Brigham Young University, Provo, UT, 84602

2. Department of Sociology, Political Science, and Public Policy, Duke University, Durham, NC, 27708

3. Department of Computer Science, Brigham Young University, Provo, UT, 84602

4. Department of Computer Science, University of Washington, Seattle, WA, 98195

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.

Funder

National Science Foundation

Brigham Young University

Duke University

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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