Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98225
Title: Data visualization in online journalism and its implications for the production process
Authors: Weber, Wibke.
Rall, Hannes.
Issue Date: 2012
Source: Weber, W., & Rall, H. (2012). Data visualization in online journalism and its implications for the production process. 2012 16th International Conference on Information Visualisation (IV).
Abstract: Data stories -- this buzzword links together two different disciplines: computer science and journalism. The new relationship is called data-driven journalism. The emerging product of this relationship: data-based visualization that reveals the story behind the data. However, who produces those "data stories"? A journalist, an information designer, a computer scientist, or a team? New formats often implicate new workflows and a new way of thinking. This paper sets data visualization in the context of online journalism by focusing on the production process. We interviewed 19 experts of German, Swiss, and American media companies: designers, programmers, and journalists. For the analysis of the interviews we used the grounded theory approach. The findings show: The crucial success factor in the production process of data-based visualization in journalism is the attitude that everyone in the team acts as a journalist -- no matter whether programmer, designer or statistician. A case study of the New York Times newsroom illustrates our findings.
URI: https://hdl.handle.net/10356/98225
http://hdl.handle.net/10220/12392
DOI: http://dx.doi.org/10.1109/IV.2012.65
Rights: © 2012 IEEE.
metadata.item.grantfulltext: none
metadata.item.fulltext: No Fulltext
Appears in Collections:ADM Conference Papers

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