Political Polarization Content

Muhammad Haroon on How Social Media Algorithms Can Foster Political Radicalization

Soterios J Johnson — December 13, 2022 - 12:24am

A new study from ��ϲ��Ͽ� Davis suggests that artificial intelligence recommendation algorithms on sites like YouTube and TikTok can play a role in political radicalization. In this episode, ��ϲ��Ͽ� Davis computer science Ph.D. student Muhammad Haroon, who led the study, discusses how the study was designed, what the team found, and a new digital tool they created to mitigate the radicalizing effect of social media platform AI algorithms.

How Automated YouTube Recommendations Foster Polarization

Andy Fell — August 25, 2022 - 11:58am

��ϲ��Ͽ� Davis computer scientists create YouTube Audit site, showing how recommendation algorithms steer left- or right-leaning users to more extreme content.

New Episode of The Backdrop Podcast Released

Soterios J Johnson — February 25, 2021 - 11:35am

Conventional wisdom has held that as people are exposed to more partisan news, they become more polarized. But a new study finds that’s not so. On this month’s episode of The Backdrop, Magdalena Wojcieszak discusses a couple of new studies she has co-authored that found no correlation between media exposure and political polarization.