In a digital environment with many ideologically tinged news outlets, people often assume that audiences will consume content from politically like-minded sources. Such expectations are wholly in keeping with theories of selective exposure, which have long informed studies of media uses and effects (Zillmann & Bryant, 1985), and have helped create a powerful myth of a stark red/blue divide in news consumption (Dilliplane, 2011; Levendusky, 2013; Mullainathan & Shleifer, 2005). Although this myth has been contested using a variety of methods and media platforms (Gentzkow & Shapiro, 2011; Messing & Westwood, 2014; Weeks, Ksiazek, & Holbert, 2016), it perseveres due to the increasingly extreme political polarization among voters within the United States and across the globe (Bump, 2016). In today's political climate, partisans disagree not just about policies but also about "basic facts" (Doherty, Kiley, & Johnson, 2016). "Filter bubbles" offer a straightforward explanation of the mechanism that makes this extreme partisan divide possible. As online news consumption shifts to social network sites (