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Exploring Media Transparency With Multiple Views

Politically concerned citizens and data journalists want to investigate money flows from government to media, which are documented as open government data on ‘media transparency’. This dataset can be characterized as a dynamic bipartite network with quantitative flows and a large number of vertices. Currently, there is no adequate visualization approach for data of this structure. We designed a visualization providing coordinated multiple views of aggregated attribute values as well as short tables of top sorted vertices that can be explored in detail by linked selection across multiple views. A derived attribute ‘trend’ allows selection of flows with increasing or decreasing volume. The design study concludes with directions for future work.