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How Much Does Partisanship Drive Animosity? Experiments Reveal Policy Disagreement's Dominance.
Insights from the Field
partisan animosity
policy disagreement
experimental design
united states politics
American Politics
AJPS
5 R files
6 PDF files
6 datasets
1 text files
Dataverse
The Policy Basis of Measured Partisan Animosity in the United States was authored by Lilla Orr and Gregory Huber. It was published by Wiley in AJPS in 2020.

What truly fuels intense partisan hostility in the U.S.? Is it an emotional reaction against the opposing party itself, or is policy disagreement the primary driver?

Experimental Approach:

This research employs a set of carefully designed vignette evaluations. Participants assessed their reactions to political content under varied conditions—both with and without explicit partisanship cues.

🔍 Shared Partisanship vs. Shared Policy Preference:

The effects of partisan identification alone were found to be about 71% as strong as shared policy preference when presented separately.

🧬 Randomized Elements & Counterfactuals:

However, the real test involved presenting randomized combinations of party and policy stances together. This approach allowed us to isolate their independent impacts.

📊 Key Findings: Policy Dominance:

When partisan identity was paired with a policy stance (even unrelated ones), its effect nearly vanished—reducing by 52%. Meanwhile, policy disagreement effects remained substantial, decreasing minimally by about 10%.

💡 Why This Matters:

These results suggest that many current measures of partisan animosity may be capturing programmatic conflict rather than deep-seated social identity hostility. The findings highlight the need for more nuanced research designs in political science to accurately distinguish between these potentially distinct drivers of polarization.

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