Users Polarization on Facebook and Youtube

Users online tend to select information that support and adhere their be= liefs, and to form polarized groups sharing the same view-e.g. echo chamber= s. Algorithms for content promotion may favour this phenomenon, by accounti= ng for users preferences and thus limiting the exposure to unsolicited cont= ents. To shade light on this question, we perform a comparative study on ho= w same contents (videos) are consumed on different online social media-i.e.= Facebook and YouTube-over a sample of 12M of users. Our findings show that= content drives the emergence of echo chambers on both platforms. Moreover,= we show that the users' commenting patterns are accurate predictors for th= e formation of echo-chambers.