<p>Social media behaviors, moving at an ever faster pace, may not reflect what users really want, according to new research from economists Sendhil Mullainathan (Chicago Booth) and Amanda Agan (Rutgers University). They join The Pie to discuss how algorithms feed off our lizard brains to magnify biases.</p>

Social media behaviors, moving at an ever faster pace, may not reflect what users really want, according to new research from economists Sendhil Mullainathan (Chicago Booth) and Amanda Agan (Rutgers University). They join The Pie to discuss how algorithms feed off our lizard brains to magnify biases.

Social Media Algorithms: How You’re Curating a Biased News Feed

The Becker Friedman Institute for Economics at the University of Chicago (BFI) serves as a hub for cutting-edge analysis and research across the entire UChicago economics community to uncover new ways of thinking about the field. Featuring conversations and lectures from premier BFI events, this podcast explores the latest economic insights and trends from leading voices in policy, business, the media, and academia, revealing how rigorous thinking shapes our understanding of the world.

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Social Media Algorithms: How You’re Curating a Biased News Feed

Social Media Algorithms: How You’re Curating a Biased News Feed