TitleVisual Exploration of Media Transparency for Data Journalists: Problem Characterization and Abstraction
Publication TypeConference Paper
Year of Publication2016
AuthorsNiederer, C., A. Rind, W. Aigner, J. Ausserhofer, R. Gutounig, and M. Sedlmair
Conference NameProceedings of the 10th Forschungsforum der österreichischen Fachhochschulen
PublisherFH des BFI Wien
Conference LocationVienna, Austria
Keywordsdata-driven journalism, information visualization, interactive data exploration, User-Centered Design, Visual analytics
AbstractToday, journalists increasingly deal with complex, large, and heterogenous datasets and, thus, face challenges in integration, wrangling, analysis, and reporting these data. Besides the lack of money, time, and skills influences their journalistic work. Information visualization and visual analytics offer possibilities to support data journalists. This paper contributes an overview of a possible characterization and abstraction of certain aspects of data-driven journalism in Austria.  A case study was conducted based on the dataset of media transparency in Austria.  We conducted four semi-structured interviews with Austrian data journalists, as well as an exploratory data analysis of the media transparency dataset. To categorize our findings we used Munzner´s analytical framework and the Data-User-Task Design Triangle by Miksch and Aigner (2014).
Refereed DesignationRefereed