An investigation of the relationship between the amount of extra-textual data and the quality of Wikipedia articles

Marcelo Yuji Himoro, Raíza Hanada, Marco Cristo, M. G. Pimentel
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引用次数: 1

Abstract

Wikipedia, a web-based collaboratively maintained free encyclopedia, is emerging as one of the most important websites on the internet. However, its openness raises many concerns about the quality of the articles and how to assess it automatically. In the Portuguese-speaking Wikipedia, articles can be rated by bots and by the community. In this paper, we investigate the correlation between these ratings and the count of media items (namely images and sounds) through a series of experiments. Our results show that article ratings and the count of media items are correlated.
对维基百科文章质量与文本外数据量之间关系的调查
维基百科,一个基于网络的协作维护的免费百科全书,正在成为互联网上最重要的网站之一。然而,它的开放性引发了人们对文章质量以及如何自动评估文章质量的担忧。在葡语维基百科中,文章可以由机器人和社区进行评分。在本文中,我们通过一系列实验来研究这些评级与媒体项目(即图像和声音)数量之间的相关性。我们的研究结果表明,文章评级和媒体条目的数量是相关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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