Durably reducing partisan animosity through multiple scalable treatments
Edited by Mary Waters, Harvard University, Cambridge, MA; received December 20, 2024; accepted March 19, 2025
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.
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Increasing partisan animosity in the United States has been linked to numerous social problems (1), raising concerns for most Americans (2) and undermining relationships (3), public health (4), and workplace interactions (5). Academics and civic organizations have developed strategies to redress this polarization. And research evaluating these strategies suggests promising avenues for intervention, including correction of inaccurate metaperceptions and exposure to sympathetic outparty exemplars (1, 6, 7).
However, barriers still exist between extant research and effectively intervening at scale to reduce partisan animosity in society. While prior research has identified treatments that can durably reduce partisan animosity, many interventions are quite onerous [e.g., watching CNN for 28 h in a month; (8)] or focus on specific populations [e.g., political activists; see SI Appendix; (9)]. Given that an inherent tension may exist between durability and scalability (6), questions remain about the extent to which exposure to brief, scalable treatments invoking evidence-based strategies can generate durable effects in the general population (1).
Additionally, prior work has focused primarily on reducing a) general partisan animosity (i.e., animosity toward outpartisans in general; e.g., “Republicans” or “Democrats”), b) social distance from hypothetical outpartisans in specific contexts, such as a neighbor or child-in-law (10), c) animosity toward research confederates portraying an outparty member (11), or d) animosity toward outparty members in one-off interactions (12). While valuable, these studies also have limitations (SI Appendix). For example, general partisan animosity may reflect attitudes toward nonrepresentative stereotypes of highly engaged ideologues (13) or outparty politicians (10). To effectively treat animosity as it is expressed in everyday life, it is important to examine whether treatments can also reduce animosity held toward specific, personally known outpartisans—which we label interpersonal partisan animosity—rather than a generic stereotype, hypothetical person, research confederate, or one-off interaction partner encountered in an experiment. Because attitudes toward personally known outpartisans, such as coworkers and acquaintances, are likely shaped by many past (likely nonpolitical) experiences, sentiments toward these outpartisans may be more difficult to treat, especially using treatments focused on general political divisions. Further, treatment effects may be attenuated by ongoing interactions with these personally known outpartisans.
We conducted a six-wave panel survey experiment testing the influence of multiple treatments on partisan animosity toward a) general outparty members and b) a personally known coworker or acquaintance who likely supports the participant’s outparty, specified by the participant at T0. We first collected baseline attitudes (T0). Then, over the next week (T1, T2, T3), participants randomly assigned to the treatment group watched three 3 to 5 min videos (in random order) previously found to reduce general partisan animosity (1, 14) by portraying inparty and outparty members a) sharing a positive interaction, b) learning that outparty members hold less extreme views than expected, and c) reacting to statistics and testimonials highlighting cross-party similarities. Those randomly assigned to the control group watched three videos unrelated to politics (SI Appendix). We assessed general and interpersonal partisan animosity at all three waves and, to test for durability, two and 4 wk after the last treatment (T4, T5). We preregistered hypotheses stating that the treatments would reduce general partisan animosity immediately after the third exposure (H1), 2 wk later (H2), and 4 wk later (H3), as well as several research questions (RQs) delineated below (SI Appendix).
Results
Fig. 1 presents treatment effects on general partisan animosity at T1–T5. Consistent with research examining discrete treatment effects (1), participants in the treatment (versus control) condition reported lower general partisan animosity following exposure to the first treatment at T1 (b = −6.77; P < 0.001), second treatment at T2 (b = −6.79; P < 0.001), and third treatment at T3 (b = −9.07; P < 0.001; H1). The effect at T3 was significantly larger than the effects at T1 (Δ: b = −2.20; P = 0.007) and T2 (Δ: b = −2.24; P = 0.004). For reference, Americans’ partisan animosity has increased by approximately 0.6 percentage points per year between 1978 and 2016. Therefore, this T3 effect was the equivalent of reversing more than 15 y of increasing partisan animosity. Further, participants in the treatment (versus control) condition reported lower general partisan animosity 2 wk (T4: b = −3.76; P < 0.001; H2) and 4 wk (T5: b = −3.92; P < 0.001; H3) after the last treatment. Effects at T4 and T5 were significantly weaker than effects at T3 (ΔT4: b = 5.31; P = 0.007; ΔT5: b = 5.05; P = 0.007), but the rate of decay appears to be nonlinear (RQ1): There was no decline in effect size between T4 and T5 (Δ: b = 0.27; P = 0.752).
Fig. 1.

Fig. 2 presents the treatment effects on partisan animosity toward personally known outparty coworkers and acquaintances at T1–T5. While general partisan animosity was higher than 60 out of 100 at every wave in both conditions, interpersonal partisan animosity was always less than 40. Nonetheless, assignment to the treatment also reduced interpersonal partisan animosity (RQ2) at T1 (b = −1.74; P = 0.025), T2 (b = −2.74; P = 0.002), and T3 (b = −3.45; P < 0.001). The effect at T3 was significantly larger than the effect at T1 (Δb = −1.83; P < 0.001) but not versus T2 (Δb = −0.75; P = 0.337). Finally, the effect on interpersonal partisan animosity was also significant 2 wk (T4; b = −3.27; P < 0.001) and 4 wk (T5; b = −2.60; P = 0.007) after the last treatment. The effects at T3–T5 were not statistically different (all |Δb|s < 0.75; all Ps > 0.433).
Fig. 2.

Treatment effects were significantly stronger for general (versus interpersonal) partisan animosity at T1–T3 (all bs < −4.07, all ps < 0.001). However, at T4 and T5, the treatment effects did not differ significantly between the two outcomes. Thus, while the treatments had stronger initial effects on animosity toward general outparty members, the decay of the effect on animosity toward outparty members in preexisting, ongoing relationships was significantly weaker from T3 to both T4 (b = −5.06, P < 0.001) and T5 (b = −4.24, P < 0.001). While more than 50% of the effect on general animosity decayed after 2 wk, only about 5% of the effect on interpersonal animosity decayed over the same period (and only 25% of the effect decayed after 4 wk). These differing results highlight the potential value of studying interpersonal as well as general partisan animosity.
Discussion
Partisan animosity in the United States has been linked to numerous negative interpersonal and societal outcomes (15). Much remains unknown, however, about effective ways to meaningfully reduce partisan animosity over time using scalable treatments. We found that exposure to multiple scalable treatments over a week, employing multiple previously validated strategies, produced substantial and durable reductions in partisan animosity, persisting even a month later. While designed to reduce animosity toward general outparty members, these treatments also reduced animosity toward specific outparty coworkers and acquaintances. Thus, treatments designed to reduce interpersonal partisan animosity might do even more to remedy the negative effects of polarization in everyday relationships. Future work should also directly compare the effects of employing multiple (versus singular) treatments and treatments using different (versus redundant) strategies. Moreover, researchers should consider designs that can rule out possible consistency bias created by repeatedly measuring partisan animosity in the same manner. Because the current treatments require so little time, they could be feasibly administered in educational, civic, or professional contexts, akin to other forms of bias training that circumvent self-selection. Accordingly, our results provide an empirical basis for practically deploying strategies to ameliorate partisan polarization in society.
Methods
Participant Sample.
Our preregistered experiment was fielded from June 29 to August 15, 2024 (https://osf.io/u5fqx/?view_only=06a3f81e4de048e0a364d698afaac631). We recruited adults through Bovitz, quota-matched to the US population regarding age, gender, education, race/ethnicity, and region, balanced between Republicans and Democrats (including partisan leaners; pure independents were excluded). The final sample assigned to a condition at T1 was 2,184 (1,127 Democrats, 1,057 Republicans). See SI Appendix for power analysis, data exclusions, and sample sizes at each wave.
Survey Design.
Participants reported demographics and identified an outparty “coworker” or “acquaintance” at T0. If participants were unsure about others’ views or did not know an outparty member, they identified a coworker or acquaintance “who you would guess probably differs from you most when it comes to political views.” Participants were exposed to treatment or placebo videos at T1, T2, and T3, and completed assessments at T0–T5. The study was approved by the Institutional Review Board at the University of Notre Dame (Protocol 24-03-8444). Participants provided informed consent at the beginning of the study at T0. See SI Appendix for study design details and the recapture process for attrited participants.
Analyses.
We calculated general partisan animosity by inverting warmth toward outparty members. We calculated interpersonal partisan animosity by inverting warmth toward the specified coworker or acquaintance. We regressed the outcome at each wave on assignment to the treatment group, controlling for the outcome at T0, as well as age, gender (male; 0/1), race (White; 0/1), education (categorical indicators), party (Republican; 0/1), ideology, and party identity.
Data, Materials, and Software Availability
Data files and scripts for replication are available on the Open Science Framework (https://osf.io/mxrej/?view_only=639b104b72d947d6b33de202ab144840 (16) and https://osf.io/u5fqx/?view_only=06a3f81e4de048e0a364d698afaac631) (17).
Acknowledgments
Author contributions
M.E.K.H., B.C.S., J.G.V., M.N.S., J.Y.C., and R.W. designed research; M.E.K.H., J.G.V., and M.N.S. performed research; J.G.V. and M.N.S. analyzed data; M.E.K.H., B.C.S., and R.W. secured funding; and M.E.K.H., B.C.S., J.G.V., M.N.S., J.Y.C., and R.W. wrote the paper.
Competing interests
The authors declare no competing interest.
Supporting Information
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M. E. K. Hall et al., Data from “Durably reducing partisan animosity through multiple scalable treatments.” Open Science Framework. https://osf.io/mxrej/?view_only=639b104b72d947d6b33de202ab144840. Deposited 20 December 2024.
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M. E. K. Hall et al., Data from “Durably reducing partisan animosity through multiple scalable treatments.” Open Science Framework. https://osf.io/u5fqx/?view_only=06a3f81e4de048e0a364d698afaac631. Deposited 20 May 2024.
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Copyright © 2025 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Data, Materials, and Software Availability
Data files and scripts for replication are available on the Open Science Framework (https://osf.io/mxrej/?view_only=639b104b72d947d6b33de202ab144840 (16) and https://osf.io/u5fqx/?view_only=06a3f81e4de048e0a364d698afaac631) (17).
Submission history
Received: December 20, 2024
Accepted: March 19, 2025
Published online: May 9, 2025
Published in issue: May 13, 2025
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Acknowledgments
Author contributions
M.E.K.H., B.C.S., J.G.V., M.N.S., J.Y.C., and R.W. designed research; M.E.K.H., J.G.V., and M.N.S. performed research; J.G.V. and M.N.S. analyzed data; M.E.K.H., B.C.S., and R.W. secured funding; and M.E.K.H., B.C.S., J.G.V., M.N.S., J.Y.C., and R.W. wrote the paper.
Competing interests
The authors declare no competing interest.
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Durably reducing partisan animosity through multiple scalable treatments, Proc. Natl. Acad. Sci. U.S.A.
122 (19) e2424414122,
https://doi.org/10.1073/pnas.2424414122
(2025).
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