Listen "#286: How Algorithms Can Fight Extremism"
Episode Synopsis
What can social-media platforms do to address growing concerns about extremism on their sites? Research suggests that YouTube, for one, has made great strides in driving viewers of radical messages toward more mainstream content. As new forms of misinformation arise, YouTube has succeeded in quickly adjusting its algorithmic recommendations. Dr. Anna Zaitsev is a postdoctoral scholar at the UC Berkeley School of Information, and the co-author of the paper “Algorithmic extremism: Examining YouTube’s rabbit hole of radicalization.” She joins the show to discuss her research on YouTube’s recommendation system, and what it takes to spot, block, and demote ever-evolving extremist content.
More episodes of the podcast Tech Policy Podcast
426: Copyright v. The Internet
11/12/2025
425: Social Media Is Always Changing
02/12/2025
424: Meta Beats the Antitrust Regulators
20/11/2025
423: Free Speech Hypocrites
13/11/2025
421: OpenAI’s Tumultuous Corporate Reboot
22/10/2025
420: Tech and Immigration
06/10/2025
419: Do Tech Optimists Have a Party?
24/09/2025
418: Algorithms, AI, and Product Liability
15/09/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.