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Agent-based moral rhetoric simulation to reduce political polarization

Evan M. Williams & Kathleen M. Carley

Computational and Mathematical Organization Theory2025https://doi.org/10.1007/s10588-025-09401-9article
AJG 1
Weight
0.41

What the paper says

Rising US polarization in recent years has negatively impacted many friend and family relationships. To determine the best moral strategies for facilitating cross-party communication, we create an agent-based simulation underpinned by Moral Foundations Theory to model small-group moral conversations where the majority of agents align with either liberal or conservative views. We find, contrary to what moral re-framing research has assumed, that loyalty may be the best moral foundation for facilitating cross-party communication. More research is needed to understand the depolarizing effects of moral arguments in group settings.

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https://doi.org/https://doi.org/10.1007/s10588-025-09401-9

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@article{evan2025,
  title        = {{Agent-based moral rhetoric simulation to reduce political polarization}},
  author       = {Evan M. Williams & Kathleen M. Carley},
  journal      = {Computational and Mathematical Organization Theory},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1007/s10588-025-09401-9},
}

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Agent-based moral rhetoric simulation to reduce political polarization

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.