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|August 18, 2023
PubMed
Summary
This summary is machine-generated.

Harnessing the "wisdom of crowds" offers a scalable solution to combat online misinformation. Aggregated judgments from laypeople effectively identify inaccurate news, complementing professional fact-checking efforts.

Keywords:
crowdsourcingfact-checkingmisinformationsocial mediawisdom of crowds

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Area of Science:

  • Information Science
  • Social Computing
  • Human-Computer Interaction

Background:

  • Online misinformation poses a significant societal challenge.
  • Current reliance on professional fact-checking faces limitations in speed and coverage.
  • Scalable solutions are needed to identify and mitigate the spread of false information online.

Purpose of the Study:

  • To explore the efficacy of the
  • wisdom of crowds
  • in identifying online misinformation.
  • To assess the potential of crowdsourced judgments as a supplement to professional fact-checking.
  • To provide recommendations for implementing crowdsourced fact-checking interventions.

Main Methods:

  • Summarizing existing research on crowdsourced assessment of information quality.
  • Analyzing studies that aggregate judgments from groups of laypeople (crowds).
  • Correlating crowd ratings with professional fact-checker ratings across diverse study designs.

Main Results:

  • Crowd ratings demonstrate strong correlation with professional fact-checker ratings.
  • Aggregated layperson judgments effectively identify low-quality news sources and inaccurate posts.
  • Crowdsourcing shows promise for large-scale misinformation detection.

Conclusions:

  • The
  • wisdom of crowds
  • is a viable and effective method for identifying online misinformation at scale.
  • Crowdsourced fact-checking can augment traditional methods, addressing limitations in speed and coverage.
  • Translating crowdsourced insights into practical interventions requires further research and development.