Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/915
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVassis, Georgios-
dc.contributor.authorMargounakis, Dimitrios G.-
dc.contributor.authorTambouris, Efthimios-
dc.date.accessioned2021-04-12T10:43:56Z-
dc.date.available2021-04-12T10:43:56Z-
dc.date.issued2021-
dc.identifier10.4018/978-1-7998-3473-1.ch050en_US
dc.identifier.isbn9781799834731en_US
dc.identifier.isbn9781799834748en_US
dc.identifier.issn2327-350Xen_US
dc.identifier.issn2327-3518en_US
dc.identifier.urihttps://doi.org/10.4018/978-1-7998-3473-1.ch050en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/915-
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesAdvances in Logistics, Operations, and Management Scienceen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.titleReview and Evaluation of Systems Supporting Data Journalismen_US
dc.typeBook chapteren_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.firstpage679en_US
local.identifier.lastpage694en_US
local.identifier.volumetitleEncyclopedia of Organizational Knowledge, Administration, and Technologyen_US
Appears in Collections:Department of Applied Informatics

Files in This Item:
File Description SizeFormat 
BC08_DataJournalism_Book_chapter.pdf1,07 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.