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Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation

Research examining how crowdsourced annotations combined with algorithmic selection can combat misinformation, developing a matrix-factorization algorithm identifying annotations that appeal broadly across heterogeneous user groups through bridging-based ranking. Results showed algorithmically-selected annotations outperformed baselines, and Twitter users exposed to them were significantly less likely to reshare posts. Demonstrates that combining collective intelligence with thoughtful algorithmic curation effectively reduces misinformation spread.

Research
Creators Stefan Wojcik, Sophie Hilgard, Nick Judd, Delia Mocanu, Stephen Ragain, M.B. Fallin Hunzaker, Keith Coleman and Jay Baxter
Year 2022