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Updated: Jun 22, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Community notes increase trust in fact-checking on social media.

Chiara Patricia Drolsbach1, Kirill Solovev1, Nicolas Pröllochs1

  • 1JLU Giessen, 35394 Giessen, Germany.

PNAS Nexus
|July 1, 2024
PubMed
Summary

Community notes, which provide explanations for fact-checks, are more trusted than simple flags. This context enhances user trust and improves identification of misleading social media content.

Keywords:
fact-checkingmisinformationsocial mediatrust

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Area of Science:

  • Social Sciences
  • Communication Studies
  • Information Science

Background:

  • Community-based fact-checking offers a scalable solution for addressing social media misinformation.
  • A critical gap exists in understanding user trust towards community-driven fact-checking initiatives.

Purpose of the Study:

  • To evaluate user trust in different fact-checking interventions for social media content.
  • To determine if the source (expert vs. community) or the format (flags vs. explanations) influences trust.

Main Methods:

  • Survey of American participants exposed to social media posts with various fact-checking formats (misinformation flags, community notes).
  • Randomized controlled trial design to compare trust levels across different interventions.
  • Analysis of trust perceptions across the political spectrum.

Main Results:

  • Community notes were perceived as significantly more trustworthy than simple misinformation flags across political divides.
  • Higher trustworthiness of community notes was attributed to the provided context (explanations), not just the community source.
  • Community notes enhanced users' ability to identify misleading social media posts.

Conclusions:

  • Contextual explanations are crucial for building trust in fact-checking efforts.
  • Community notes represent a promising strategy to overcome trust deficits associated with simple misinformation flags.
  • Integrating explanatory context can improve the effectiveness of online content moderation.