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June 17, 2026Journal of Experimental Psychology General

Toward a mechanistic understanding of false news sharing: Which interventions work best, for whom, and why.

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Authors

AGAnton GollwitzerBI Norwegian Business SchoolATAlan N. TumpMax Planck Institute for Human DevelopmentCMCameron MartelMassachusetts Institute of Technology

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Implication

Randomized trial evaluates interventions for false news sharing, highlighting individual factors and decision processes.

Key Points

  • This research aims to identify effective interventions to reduce false news sharing and understand individual and news-level factors influencing this behavior.
  • Applied a semi-integrative experimental approach comparing multiple false news interventions.
  • Examined individual factors like age and political conservatism affecting news-sharing behavior.
  • Utilized drift-diffusion modeling to analyze decision-making processes related to news sharing.
  • Warning labels significantly improved news-sharing quality with higher quality content, indicating their effectiveness.
  • Media literacy tips increased cautiousness in sharing decisions, enhancing content processing.
  • Social norm cues showed only modest effects, while accuracy prompts had minimal benefits.

Cite This Study

Gollwitzer et al. (2026) studied this question.

synapsesocial.com/papers/6a323aead50b63ecad205b06https://doi.org/10.1037/xge0001928
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Also Consider

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  1. 1A Unified Framework for Understanding and Intervening on False News Sharing2024 · 18 citations
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  3. 3An optimisation model for minimising fake news dissemination: the role of user demographics, content characteristics, and intervention strategies2026
  4. 4Reducing misinformation on social media: an experimental evaluation of two policy interventions2025
  5. 5Fighting misinformation among the most vulnerable users2024 · 29 citations