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Simple logic warnings improve climate argument evaluation across beliefs and partisanship

  • Bence Bago*
  • , Zoe A. Purcell
  • *Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

Collective climate action requires shared beliefs aligned with scientific consensus, yet fallacious information leads people to misjudge arguments. The mechanisms behind these failures remain unclear. Here we isolate the independent effects of partisan identity, prior beliefs and cognitive limits on argument-quality detection. Across four preregistered studies (N = 4,000), we introduce a protocol that orthogonally manipulates argument quality and direction across realistic contexts. In neutral contexts, prior beliefs dominated judgements, with partisanship and argument quality having smaller effects. Contrary to identity-protective accounts, embedding arguments in hostile partisan contexts did not increase partisan bias or impair argument-quality detection. Instead, partisan attacks reduced reliance on prior beliefs, prompting participants to move away from their prior positions. Finally, minimal logic warnings indicating possible fallacies enhanced discrimination between weak and strong arguments. These findings show climate argument evaluation is context sensitive and can be improved with simple logic warnings.
Original languageEnglish
Number of pages17
JournalNature Climate Change
DOIs
Publication statusE-pub ahead of print - 21 Sept 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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