This talk explores how polarization is a goal—not an error—within current algorithmic recommendation systems.  It focuses on how “authenticity”—the drive to make users and systems “real”—perpetuate angry clusters of comforting rage by creating network neighborhoods, in which users share an open secret or hatred.