Social media algorithms exploit how humans learn from their peers

Social media algorithms exploit how humans learn from their peers

a year ago
Anonymous $pUsIN4hzN9

https://www.sciencedaily.com/releases/2023/08/230803113015.htm

"Several user surveys now both on Twitter and Facebook suggest most users are exhausted by the political content they see. A lot of users are unhappy, and there's a lot of reputational components that Twitter and Facebook must face when it comes to elections and the spread of misinformation," says first author William Brady, a social psychologist in the Kellogg School of Management at Northwestern.

"We wanted to put out a systematic review that's trying to help understand how human psychology and algorithms interact in ways that can have these consequences," says Brady. "One of the things that this review brings to the table is a social learning perspective. As social psychologists, we're constantly studying how we can learn from others. This framework is fundamentally important if we want to understand how algorithms influence our social interactions."