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Researchers say misinformation models miss the people who keep false claims moving
Key Takeaways
- A new study argues that repeat sharers play a larger role in misinformation spread than many models recognize.
- Researchers combined a review of trust and belief factors with unsupervised machine-learning analysis.
- The resulting conceptual model identifies behavioral patterns linked to repeated misinformation sharing.
- The findings could inform platform policy, moderation, fact-checking, and media literacy efforts.
DE
DT Editorial Team··via phys.org