Advancing theory in media exposure and effects requires contending with an increasing level of complexity and contingency. Building on established theoretical concerns and the research possibilities enabled by large social datasets, we propose a framework for mapping information exposure of digitally situated individuals. We argue that from the perspective of an individual's personal communication network, comparable processes of “curation” are undertaken by a variety of actors—not only conventional newsmakers but also individual media users, social contacts, advertisers, and computer algorithms. Detecting the competition, intersection, and overlap of these flows is crucial to understanding media exposure and effects today. Our approach reframes research questions in debates such as polarization, selective and incidental exposure, participation, and conceptual orientations for computational approaches.