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Synapse
May 7, 20260 citationsOpen Access

Misinformation as an Event Model Problem

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MHMarkus HuffJGJan Pascal GöbelHFH Fischer

Key Points

  • To investigate why misinformation persists in reasoning despite corrections and propose an event-model approach.
  • Analyzed the persistence of misinformation in temporal narratives and event-structured mental models.
  • Proposed a framework that links misinformation and event representation through prediction and inference.
  • Identified that traditional corrections often fail to restore model completeness.
  • Demonstrated that corrections aligned with event boundaries improve stabilization of updated representations.
  • Advanced understanding of how misinformation can lead to false memories through causal roles in narratives.

Abstract

Why does misinformation continue to influence reasoning even after it has been corrected? Dominant accounts treat this persistence as a failure of belief updating, emphasizing propositional acceptance, motivational resistance, or memory decay. We argue that this view overlooks a key constraint on comprehension: misinformation is typically encountered within temporally unfolding narratives and integrated into event-structured mental models. Drawing on event cognition, we propose that misinformation often acquires a causal role within an event representation, supporting prediction, explanation, and inference. Corrections that merely negate false information remove a causal element without restoring model completeness, leaving incoherent representations that invite compensatory inference and the reemergence of misinformation. By contrast, our framework predicts that corrections that align with event boundaries and provide factually accurate, causally adequate replacements should be more likely to stabilize updated representations. This event-model perspective unifies continued influence effects, delayed resurgence of misinformation, and inference-based false memory. It suggests that effective interventions must not only revise beliefs but also restore coherence in narrative event models.

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Cite This Study

Huff et al. (2026) studied this question.

synapsesocial.com/papers/69fbe382164b5133a91a2ac0https://doi.org/10.23668/psycharchives.21904
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Assessing the effects of misleading postevent information using multinomial processing tree models.2026
  2. 2Processing of misinformation as motivational and cognitive biases2024 · 22 citations
  3. 3Understanding and Combating Misinformation: An Evolutionary Perspective (Preprint)2024
  4. 4Real-time processing of misinformation and its correction: Insights from eye movements during reading2026
  5. 5When Corrections Don't Stick: How Attitudes and Knowledge Shape the Persistence of Misinformation About Genetically Modified Food2026