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|Title:||A Data-Driven Introduction to Authors, Readings, and Techniques in Visualization for the Digital Humanities|
|Publisher:||IEEE Computer Graphics and Applications|
|Citation:||A. Benito-Santos and R. T. Sánchez, "A Data-Driven Introduction to Authors, Readings, and Techniques in Visualization for the Digital Humanities," in IEEE Computer Graphics and Applications, vol. 40, no. 3, pp. 45-57, 1 May-June 2020, doi: 10.1109/MCG.2020.2973945.|
|Abstract:||The newly rediscovered frontier between data visualization and the digital humanities has proven to be an exciting field of experimentation for scholars from both disciplines. This fruitful collaboration is attracting researchers from other areas of science who may be willing to create visual analysis tools that promote humanities research in its many forms. However, as the collaboration grows in complexity, it may become intimidating for these scholars to get engaged in the discipline. To facilitate this task, we have built an introduction to visualization for the digital humanities that sits on a data-driven stance adopted by the authors. In order to construct a dataset representative of the discipline, we analyze citations from a core corpus on 300 publications in visualization for the humanities obtained from recent editions of the InfoVis Vis4DH workshop, the ADHO Digital Humanities Conference, and the specialized digital humanities journal Digital Humanities Quarterly. From here, we extract referenced works and analyze more than 1900 publications in search of citation patterns, prominent authors in the field, and other interesting insights. Finally, following the path set by other researchers in the visualization and Human-Computer Interaction (HCI) communities, we analyze paper keywords to identify significant themes and research opportunities in the field.|
|Appears in Collections:||Documents|
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