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Social Media Algorithms: How You’re Curating a Biased News Feed
Manage episode 358548324 series 1094903
Content provided by UChicago Economics Events and Conversations and Becker Friedman Institute at UChicago. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UChicago Economics Events and Conversations and Becker Friedman Institute at UChicago or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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55 episodes
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Manage episode 358548324 series 1094903
Content provided by UChicago Economics Events and Conversations and Becker Friedman Institute at UChicago. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UChicago Economics Events and Conversations and Becker Friedman Institute at UChicago or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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.
55 episodes
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