Durably reducing partisan animosity through multiple scalable treatments

Recent research has identified several effective strategies for reducing Americans' animosity toward supporters of opposing political parties. However, whether these strategies can durably reduce partisan animosity in a scalable manner and in everyday life remains unclear. We bridge the gap between prior research and useful application by assessing whether exposure to multiple, scalable treatments that portray inparty and outparty members interacting positively, receiving accurate information about one another's views, and learning about cross-party similarities can a) durably shift partisans' sentiments and b) influence partisans' sentiments toward specific, personally known others encountered in everyday life-not only general, hypothetical, or one-off rival partisans. In a longitudinal survey experiment, we find that exposure to three brief, scalable treatments over a week reduces partisan animosity, with effects persisting for at least a month. Moreover, the treatments durably ameliorate animosity toward both general outparty members and a personally known outparty member, specified prior to the treatments. These findings suggest promising avenues for redressing social divisions in real-world contexts.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-05-09
DOI
https://doi.org/10.1073/pnas.2424414122
Citations
5
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
12.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Durably reducing partisan animosity through multiple scalable treatments

Jan G. Voelkel, Robb Willer, James Chu, Michael N. Stagnaro et al.
5 citations
Proceedings of the National Academy of Sciences
Hate Speech and Cyberbullying Detection
12.40
article

Durably reducing partisan animosity through multiple scalable treatments

Jan G. Voelkel, Robb Willer, James Chu, Michael N. Stagnaro, Brittany C. Solomon, Matthew E. K. Hall
article en
5 citations

Abstract

Recent research has identified several effective strategies for reducing Americans' animosity toward supporters of opposing political parties. However, whether these strategies can durably reduce partisan animosity in a scalable manner and in everyday life remains unclear. We bridge the gap between prior research and useful application by assessing whether exposure to multiple, scalable treatments that portray inparty and outparty members interacting positively, receiving accurate information about one another's views, and learning about cross-party similarities can a) durably shift partisans' sentiments and b) influence partisans' sentiments toward specific, personally known others encountered in everyday life-not only general, hypothetical, or one-off rival partisans. In a longitudinal survey experiment, we find that exposure to three brief, scalable treatments over a week reduces partisan animosity, with effects persisting for at least a month. Moreover, the treatments durably ameliorate animosity toward both general outparty members and a personally known outparty member, specified prior to the treatments. These findings suggest promising avenues for redressing social divisions in real-world contexts.

Proceedings of the National Academy of SciencesVol. 122(19)
University of Notre Dame (US), Cornell University (US), Massachusetts Institute of Technology (US), Columbia University (US), Stanford University (US)
Reduced inequalities
Openalex Percentile: Top 2%
Hate Speech and Cyberbullying Detection
12.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Durably reducing partisan animosity through multiple scalable treatments — Jan G. Voelkel, Robb Willer, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS