Mining the Factors Affecting the Quality of Wikipedia Articles
In order to observe the variation of factors affecting the quality of Wikipedia articles during the information quality improvement process, we proposed 28 metrics from four aspects, including lingual, structural, historical and reputational features, and then weighted each metrics in different stages by using neural network. We found lingual features weighted more in the lower quality stages, and structural features, along with historical features, became more important while article quality improved. However, reputational features did not act as important as expected. The findings indicate that the information quality is mainly affected by completeness, and well-written is a basic requirement in the initial stage. Reputation of authors or editors is not so important in Wikipedia because of its horizontal structure.
Web2.0 Wikipedia Information Quality Neural Network Quality Assessment
Kewen Wu Qinghua Zhu Yuxiang Zhao Hua Zheng
Dept. of Information Management Nanjing University Nanjing, China School of Management and Engineering Nanjing University Nanjing, China
国际会议
西安
英文
343-346
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）