%0 Report
%9 Working Paper
%@ arXiv:1604.02705
%A Bessi, Alessandro
%A Zollo, Fabiana
%A Del Vicario, Michela
%A Puliga, Michelangelo
%A Scala, Antonio
%A Caldarelli, Guido
%A Uzzi, Brian
%A Quattrociocchi, Walter
%D 2016
%F eprints:3554
%I IMT Institute for Advanced Studies Lucca
%T Users Polarization on Facebook and Youtube
%U http://eprints.imtlucca.it/3554/
%X On social media algorithms for content promotion, accounting for users preferences, might limit the exposure to unsolicited contents. In this work, we study how the same contents (videos) are consumed on different platforms -- i.e. Facebook and YouTube -- over a sample of 12M of users. Our findings show that the same content lead to the formation of echo chambers, irrespective of the online social network and thus of the algorithm for content promotion. Finally, we show that the users' commenting patterns are accurate early predictors for the formation of echo-chambers.