How Systems Like Community Notes on Twitter/X Aim to Break the Cycle of Misinformation

Are social media algorithms fueling misinformation and deepening echo chambers—or can they help bridge divides? In this episode, we talk with Paul Resnick, a pioneer in recommender systems and digital trust, about how platforms curate content, the truth behind filter bubbles, and whether fact-checking tools like Community Notes on Twitter (X) can cut through the noise. Can algorithms be redesigned to reduce outrage instead of amplifying it? Tune in to find out!

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Also check out our companion podcasts, This Week in Outrage and Outrage Science Bites.

Intro music and outro music by Michael Ramir C.

Many thanks to my co-editor and co-director, Austin Chen.

Outrage Overload, a Conners Institute podcast, is part of The Democr...