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Talking Across the Aisle

Author

Listed:
  • Luca Braghieri

    (Bocconi University)

  • Peter Schwardmann

    (Carnegie Mellon University)

  • Egon Tripodi

    (Hertie School)

Abstract

We conduct an experiment that engages U.S. Democrats and Republicans in video conversations about policy-relevant facts. We study self-selection into conversations and their effect on information aggregation and affective polarization. Participants prefer co-partisan conversations, believing cross-partisan conversations to be less informative and less pleasant. There is more to learn from counter-partisans, but participants find it harder to extract knowledge from them. Our rich audiovisual data reveal that co- and cross-partisan conversations are strikingly similar in content and tone. Yet, knowledge extraction is impeded by participants' persistent lack of trust in the knowledge of counter-partisans. In contrast, cross-partisan interactions prove more enjoyable than anticipated and significantly reduce affective polarization, an effect that persists in an obfuscated follow-up survey three months later. More emotionally engaged conversations produce larger reductions in affective polarization. Policies encouraging cross-partisan interactions may be more successful at reducing affective polarization than at promoting information aggregation.

Suggested Citation

  • Luca Braghieri & Peter Schwardmann & Egon Tripodi, 2026. "Talking Across the Aisle," Rationality and Competition Discussion Paper Series 575, CRC TRR 190 Rationality and Competition.
  • Handle: RePEc:rco:dpaper:575
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    References listed on IDEAS

    as
    1. Stefano DellaVigna & Elizabeth Linos, 2022. "RCTs to Scale: Comprehensive Evidence From Two Nudge Units," Econometrica, Econometric Society, vol. 90(1), pages 81-116, January.
    2. Goette, Lorenz & Tripodi, Egon, 2024. "The limits of social recognition: Experimental evidence from blood donors," Journal of Public Economics, Elsevier, vol. 231(C).
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

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