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Using Generative Art to Convey Past and Future Climate Transitions
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Reasoning about climate change.

Bence Bago1,2, David G Rand3,4, Gordon Pennycook5

  • 1Institute for Advanced Study in Toulouse, University of Toulouse 1-Capitole, 1 esplanade de l'Université, Toulouse 31080, France.

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This summary is machine-generated.

Disbelief in human-caused climate change is common, but political motivation in reasoning is not the sole cause. Increased reasoning aligns judgments with prior beliefs, rather than worsening partisan divides.

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Area of Science:

  • Environmental Psychology
  • Cognitive Science
  • Climate Change Communication

Background:

  • Despite scientific consensus, public disbelief in anthropogenic climate change persists.
  • Politically motivated reasoning (System 2) is often cited, suggesting people protect partisan identities by rejecting climate science.
  • Existing evidence is correlational and doesn't fully account for prior beliefs confounding partisanship and reasoning effects.

Purpose of the Study:

  • To investigate the role of politically motivated reasoning in climate change disbelief.
  • To address limitations in prior research by measuring prior beliefs and experimentally manipulating reasoning.
  • To differentiate between motivated reasoning and potentially unbiased Bayesian reasoning.

Main Methods:

  • Participants' prior beliefs about climate change were measured.
  • Reasoning extent was experimentally manipulated using cognitive load and time pressure.
  • Participants evaluated arguments for and against anthropogenic global warming.

Main Results:

  • No support found for the politically motivated System 2 reasoning account.
  • Increased reasoning enhanced coherence between judgments and prior climate change beliefs.
  • Partisanship's impact did not increase with reasoning once prior beliefs were controlled.

Conclusions:

  • Politically motivated reasoning does not fully explain climate change disbelief.
  • Reasoning may align judgments with existing beliefs, consistent with rational Bayesian updating.
  • Understanding prior beliefs is crucial when examining the influence of reasoning on climate change attitudes.