Automatic reputation assessment in Wikipedia
|Automatic reputation assessment in Wikipedia|
|Author(s)||Wohner T., Kohler S., Peters R.|
|Published in||International Conference on Information Systems 2011, ICIS 2011|
|Keyword(s)||Reputation, Reputation system, User-generated content, Web 2.0, Wiki, Wikipedia (Extra: Reputation, Reputation systems, User-generated content, Web 2.0, Wiki, Wikipedia, Discriminant analysis, Web services, Information systems)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Automatic reputation assessment in Wikipedia is a 2011 conference paper written in English by Wohner T., Kohler S., Peters R. and published in International Conference on Information Systems 2011, ICIS 2011.
The online encyclopedia Wikipedia is predominantly created by anonymous or pseudonymous authors whose knowledge and motivations are unknown. For that reason there is an uncertainty in terms of their contribution quality. An approach to this problem is provided by automatic reputation systems, which have been becoming a new research branch in the recent years. In previous research, different metrics for automatic reputation assessment have been suggested. Nevertheless, the metrics are evaluated insufficiently and considered isolated only. As a result, the significance of these metrics is quite unclear. In this paper, we compare and assess seven metrics, both originated from the literature and new suggestions. Additionally, we combine these metrics via a discriminant analysis to deduce a significant reputation function. The analysis reveals that our newly suggested metric editing efficiency is particularly effective. We validate our reputation function by means of an analysis of Wikipedia user groups.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.