Data Visualization in Online Journalism and Its Implications for the Production Process

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.

[1]  John C. Gilmour Picturing the world , 1986 .

[2]  Masaki Suwa,et al.  Thinking with Sketches , 2009 .

[3]  Robert Klanten,et al.  Visual Storytelling: Inspiring a New Visual Language , 2011 .

[4]  Pamela Jordan Basics of qualitative research: Grounded theory procedures and techniques , 1994 .

[5]  G. Thomas,et al.  Reinventing grounded theory: some questions about theory, ground and discovery , 2006 .

[6]  Geoff McGhee,et al.  Journalism in the Age of Data , 2011 .

[7]  Gregory M. Nielson,et al.  Data Visualization: The State of the Art , 2003, Data Visualization: The State of the Art.

[8]  U. Kelle "Emergence" vs. "forcing" of empirical data? A crucial problem of "grounded theory" reconsidered , 2005 .

[9]  Ganesh S. Oak Information Visualization Introduction , 2022 .

[10]  Remo Aslak Burkhard,et al.  Towards a Framework and a Model for Knowledge Visualization: Synergies Between Information and Knowledge Visualization , 2005, Knowledge and Information Visualization.

[11]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[12]  Rosemary Ranck Picturing the world , 1995 .

[13]  A. Strauss,et al.  Basics of Qualitative Research , 1992 .

[14]  Matthew Stone,et al.  Visual explanations , 2010, NPAR.

[15]  Michael Burmester,et al.  How Users Perceive and Use Interactive Information Graphics: An Exploratory Study , 2010, 2010 14th International Conference Information Visualisation.

[16]  Chaomei Chen,et al.  Information Visualization: Beyond the Horizon , 2006 .

[17]  C. W. Anderson Notes Towards an Analysis of Computational Journalism , 2011 .

[18]  Michael Friendly,et al.  Milestones in the history of thematic cartography, statistica l graphics, and data visualization , 2008 .