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Rind, A., Pfahler, D., Niederer, C., & Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73). CEUR-WS.org. http://hdl.handle.net/20.500.12708/56612
E194-01 - Forschungsbereich Information und Software Engineering E193-07 - Forschungsbereich Visual Analytics
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Published in:
Proceedings of the 9th Forum Media Technology 2016
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Date (published):
2016
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Number of Pages:
9
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Publisher:
CEUR-WS.org
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Peer reviewed:
Yes
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Abstract:
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 vi...
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.
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Research Areas:
Business Informatics: 20% Visual Computing and Human-Centered Technology: 80%
