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https://ruomo.lib.uom.gr/handle/7000/915
Title: | Review and Evaluation of Systems Supporting Data Journalism |
Authors: | Vassis, Georgios Margounakis, Dimitrios G. Tambouris, Efthimios |
Type: | Book chapter |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Issue Date: | 2021 |
First Page: | 679 |
Last Page: | 694 |
Volume Title: | Encyclopedia of Organizational Knowledge, Administration, and Technology |
Part of Series: | Advances in Logistics, Operations, and Management Science |
Part of Series: | Advances in Logistics, Operations, and Management Science |
Abstract: | In recent years, a new form of journalism has developed a strong dynamic: journalism based on data. The success of the move is so great that technologies and applications that support it have begun to emerge. Although technologies are in a period of mature productivity, their evaluation is an area lagging in development. It is a fact that lack of evaluation based on a reliable methodology is evident in the literature. Finding a suitable methodology for this purpose is particularly important in order to (a) evaluate systems supporting data journalism resulting in a specific ranking of potential, and (b) make it easier for the user to choose the application that best suits his / her requirements and cognitive level. A comparative evaluation of 9 applications related to the visual imaging component was attempted with usability and functionality criteria. The aim of this study is to provide a quick evaluation method, open to proposed improvements and further refinement, in order to establish a framework for qualitative assessment of data journalism applications. |
URI: | https://doi.org/10.4018/978-1-7998-3473-1.ch050 https://ruomo.lib.uom.gr/handle/7000/915 |
ISBN: | 9781799834731 9781799834748 |
ISSN: | 2327-350X 2327-3518 |
Other Identifiers: | 10.4018/978-1-7998-3473-1.ch050 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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BC08_DataJournalism_Book_chapter.pdf | 1,07 MB | Adobe PDF | View/Open |
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