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

Тип публикацииJournal Article
Дата публикации2023-10-03
SCImago Q1
Tоп 10% SCImago
WOS Q1
БС1
SJR3.283
CiteScore16.5
Impact factor9.1
ISSN00278424, 10916490
Multidisciplinary
Краткое описание

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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ГОСТ |
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Argyle L. P. et al. Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale // Proceedings of the National Academy of Sciences of the United States of America. 2023. Vol. 120. No. 41.
ГОСТ со всеми авторами (до 50) Скопировать
Argyle L. P., Bail C. A., Busby E. C., Gubler J. R., Howe T., Rytting C., Sorensen T., Wingate D. Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale // Proceedings of the National Academy of Sciences of the United States of America. 2023. Vol. 120. No. 41.
RIS |
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TY - JOUR
DO - 10.1073/pnas.2311627120
UR - https://doi.org/10.1073/pnas.2311627120
TI - Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale
T2 - Proceedings of the National Academy of Sciences of the United States of America
AU - Argyle, Lisa P.
AU - Bail, Christopher A.
AU - Busby, Ethan C.
AU - Gubler, Joshua R.
AU - Howe, Thomas
AU - Rytting, Christopher
AU - Sorensen, Taylor
AU - Wingate, David
PY - 2023
DA - 2023/10/03
PB - Proceedings of the National Academy of Sciences (PNAS)
IS - 41
VL - 120
PMID - 37788311
SN - 0027-8424
SN - 1091-6490
ER -
BibTex
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BibTex (до 50 авторов) Скопировать
@article{2023_Argyle,
author = {Lisa P. Argyle and Christopher A. Bail and Ethan C. Busby and Joshua R. Gubler and Thomas Howe and Christopher Rytting and Taylor Sorensen and David Wingate},
title = {Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2023},
volume = {120},
publisher = {Proceedings of the National Academy of Sciences (PNAS)},
month = {oct},
url = {https://doi.org/10.1073/pnas.2311627120},
number = {41},
doi = {10.1073/pnas.2311627120}
}
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