How news feed algorithms supercharge confirmation bias | Eli Pariser | Big Think

How news feed algorithms supercharge confirmation bias New videos DAILY: Join Big Think Edge for exclusive video lessons from top thinkers and doers: ---------------------------------------------------------------------------------- According to a Pew Research poll, 45% of U.S. adults get at least some of their news from Facebook, with half of that amount using Facebook as their only news outlet. Algorithms on social media pick what people read. There’s worry that social media algorithms are creating filter bubbles, so that they never have to read something they don’t agree with and thus cause tribal thinking and confirmation bias. The Charles Koch Foundation is committed to understanding what drives intolerance and the best ways to cure it. The foundation supports interdisciplinary research to overcome intolerance, new models for peaceful interactions, and experiments that can heal fractured communities. For more information, visit charleskochfound