Measuring Quality of Collaboratively Edited Documents: the case of Wikipedia

Quang-Vinh Dang 1 Claudia-Lavinia Ignat 1
1 COAST - Web Scale Trustworthy Collaborative Service Systems
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : Wikipedia is a great example of large scale collaboration , where people from all over the world together build the largest and maybe the most important human knowledge repository in the history. However, a number of studies showed that the quality of Wikipedia articles is not equally distributed. While many articles are of good quality, many others need to be improved. Assessing the quality of Wikipedia articles is very important for guiding readers towards articles of high quality and suggesting authors and reviewers which articles need to be improved. Due to the huge size of Wikipedia, an effective automatic assessment method to measure Wikipedia articles quality is needed. In this paper, we present an automatic assessment method of Wikipedia articles quality by analyzing their content in terms of their format features and readability scores. Our results show improvements both in terms of accuracy and information gain compared with other existing approaches.
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Quang-Vinh Dang, Claudia-Lavinia Ignat. Measuring Quality of Collaboratively Edited Documents: the case of Wikipedia. Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing (CIC-16), Nov 2016, Pittsburgh, United States. ⟨hal-01388614⟩

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