AI Chat Assistants can Improve Conversations about Divisive Topics
- URL: http://arxiv.org/abs/2302.07268v5
- Date: Fri, 20 Oct 2023 23:28:08 GMT
- Title: AI Chat Assistants can Improve Conversations about Divisive Topics
- Authors: Lisa P. Argyle, Ethan Busby, Joshua Gubler, Chris Bail, Thomas Howe,
Christopher Rytting, and David Wingate
- Abstract summary: We present results of a large-scale experiment that demonstrates how online conversations can be improved with artificial intelligence tools.
We employ a large language model to make real-time, evidence-based recommendations intended to improve participants' perception of feeling understood in conversations.
We find that these interventions improve the reported quality of the conversation, reduce political divisiveness, and improve the tone, without systematically changing the content of the conversation or moving people's policy attitudes.
- Score: 3.8583005413310625
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: A rapidly increasing amount of human conversation occurs online. But
divisiveness and conflict can fester in text-based interactions on social media
platforms, in messaging apps, and on other digital forums. Such toxicity
increases polarization and, importantly, corrodes the capacity of diverse
societies to develop efficient solutions to complex social problems that impact
everyone. Scholars and civil society groups promote interventions that can make
interpersonal conversations less divisive or more productive in offline
settings, but scaling these efforts to the amount of discourse that occurs
online is extremely challenging. We present results of a large-scale experiment
that demonstrates how online conversations about divisive topics can be
improved with artificial intelligence tools. Specifically, we employ a large
language model to make real-time, evidence-based recommendations intended to
improve participants' perception of feeling understood in conversations. We
find that these interventions improve the reported quality of the conversation,
reduce political divisiveness, and improve the tone, without systematically
changing the content of the conversation or moving people's policy attitudes.
These findings have important implications for future research on social media,
political deliberation, and the growing community of scholars interested in the
place of artificial intelligence within computational social science.
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