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!

Text me your feedback and leave your contact info if you'd like a reply (this is a one-way text). Thanks, David

Support the show

Show Notes:
https://outrageoverload.net/

Contact me, David Beckemeyer by email [email protected]. Follow the show on Instagram @OutrageOverload. We are also on Facebook /OutrageOverload. Check out our Subtstack https://outrageoverload.substack.com

HOTLINE: 925-552-7885

Got a Question, comment or just thoughts you'd like to share? Call the O2 hotline and leave a message and you could be featured in an upcoming episode

If you would like to help the show, you can contribute here. Tell everyone you know about the show. That’s the best way to support it.

Rate and Review the show on Podchaser: https://www.podchaser.com/OutrageOverload

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, ...