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Accuracy Prompts

Interventions that shift attention to accuracy when evaluating or sharing news

Accuracy prompts are nudge interventions that shift users' attention to accuracy when evaluating or sharing news content. Typically implemented as simple reminders or questions asking users to consider accuracy before sharing (e.g., "How accurate is this claim?"), accuracy prompts aim to reduce misinformation sharing by making truth a salient decision criterion.

Key empirical findings

  • Increases sharing discernment (ability to distinguish true from false news) by 2–10 percentage points across lab and field experiments
  • Works across political spectrum for both Republicans/conservatives and Democrats/liberals, though with possible partisan moderation in some specifications
  • Effect is driven by reduced false-news sharing rather than increased true-news sharing
  • Works across diverse headlines, topics (politics, COVID-19), and platforms (MTurk, Lucid, Facebook, Twitter)
  • Effect mechanism: shifts attention to accuracy during deliberation, not increased deliberation per se
  • Effectiveness may be moderated by perceived headline accuracy; less effective for headlines people believe are true

Key papers

Variants

Accuracy prompts take several forms, each with slightly different efficacy:

  • Evaluation: Rate the accuracy of a single headline (most common; reliably effective)
  • Importance: Emphasize importance of sharing only accurate news (effective in some studies)
  • Social norms: Tell users that others think accuracy is important (mixed effects)
  • Media literacy tips: Teach specific techniques for assessing credibility (some generalization)
  • Multiple interventions: Stack several approaches (larger effects, but added complexity)

Papers on this topic