Brolcháin, Niall Ó, Porwol, Lukasz, Ojo, Adegboyega, Wagner, Tilman, Lopez, Eva Tamara and Karstens, Eric (2017) Extending Open Data Platforms with Storytelling Features. In: Proceedings of the 18th Annual International Conference on Digital Government Research. ACM Digital Library, pp. 48-53. ISBN 978-1-4503-5317-5
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Abstract
Research into Data-Driven Storytelling using Open Data has
led to considerable discussion into many possible futures for
storytelling and journalism in a Data-Driven world, in particular,
into the Open Data directives framed by various governments
across the globe as a means of facilitating governments,
transparency enabled citizens and journalists to get more
insights into government actions and enable deeper and easier
monitoring of governments’ work. While progress in the
development of Open Data platforms (usually funded by national
and local governments) has been significant, it is only now that
we are beginning to see the emergence of more practical and
more applied use of Open Data platforms. Previous works have
highlighted the potential for storytelling using Open Data as a
source of information for journalistic stories. Nevertheless, there
is a paucity of studies into Open Data platform affordances to
support Data-Driven Storytelling. In this paper, we elaborate on
existing Open Data platforms in terms of support for storytelling
and analyse feedback from stakeholder focus groups, to discover
what methods and tools can introduce or facilitate the
storytelling capabilities of Open Data platforms.
Item Type: | Book Section |
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Keywords: | Usable Open Data Platform; Data-Driven Storytelling; Data-Driven Journalism; Journalism; YDS Platform; Open Data; |
Academic Unit: | Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
Item ID: | 15810 |
Identification Number: | 10.1145/3085228.3085283 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 12 Apr 2022 13:35 |
Publisher: | ACM Digital Library |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15810 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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