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Given the extremely large pool of events and stories available, media outletsneed to focus on a subset of issues and aspects to convey to their audience.Outlets are often accused of exhibiting a systematic bias in this selectionprocess, with different outlets portraying different versions of reality.However, in the absence of objective measures and empirical evidence, thedirection and extent of systematicity remains widely disputed.  In this paper we propose a framework based on quoting patterns forquantifying and characterizing the degree to which media outlets exhibitsystematic bias. We apply this framework to a massive dataset of news articlesspanning the six years of Obama's presidency and all of his speeches, andreveal that a systematic pattern does indeed emerge from the outlet's quotingbehavior. Moreover, we show that this pattern can be successfully exploited inan unsupervised prediction setting, to determine which new quotes an outletwill select to broadcast. By encoding bias patterns in a low-rank space weprovide an analysis of the structure of political media coverage. This revealsa latent media bias space that aligns surprisingly well with political ideologyand outlet type. A linguistic analysis exposes striking differences acrossthese latent dimensions, showing how the different types of media outletsportray different realities even when reporting on the same events. Forexample, outlets mapped to the mainstream conservative side of the latent spacefocus on quotes that portray a presidential persona disproportionatelycharacterized by negativity.

QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns