posted on 2016-03-15, 15:42authored byStefano De Sabbata, Kathryn Eccles, Scott Hale, Ralph K. Straumann, Arzu Çöltekin
Wikipedia is one of the largest platforms based on the con-
cept of asynchronous, distributed, collaborative work. A
systematic collaborative exploration and assessment of Wik-
ipedia content and coverage is however still largely missing.
On the one hand editors routinely perform quality and cov-
erage control of individual articles, while on the other hand
academic research on Wikipedia is mostly focused on global
issues, and only sporadically on local assessment. In this
paper, we argue that collaborative visualizations have the
potential to fill this gap, affording editors to collaboratively
explore and analyse patterns in Wikipedia content, at differ-
ent scales. We illustrate how a collaborative visualization
service can be an effective tool for editors to create, edit,
and discuss public visualizations of Wikipedia data. Com-
bined with the large Wikipedia user-base, and its diverse lo-
cal knowledge, this could result in a large-scale collection of
evidence for critique and activism, and the potential to en-
hance the quantity and quality of Wikipedia content.
History
Citation
Proceedings of the Ninth International Conference on Web and Social Media, AAAI, 2015.
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geography
Source
Ninth International Conference on Web and Social Media, University of Oxford, Oxford, UK, May 26–29, 2015
Version
AM (Accepted Manuscript)
Published in
Proceedings of the Ninth International Conference on Web and Social Media
Publisher
Association for the Advancement of Artificial Intelligence