论文标题
社交事件对研究人类偏好的Wikipedia数据集的检测和影响
The Detection and effect of social events on Wikipedia data-set for studying human preferences
论文作者
论文摘要
几项研究使用Wikipedia（WP）数据集来通过语言分析全球人类偏好。但是，这些研究可能会遭受与特殊的社会环境有关的偏见。促进WP的杰出版本的任何大型事件都可以定义为偏见的来源。在本文中，我们遵循检测异常值的程序。我们的研究基于$ 12 $语言和13美元的不同类别。我们的方法定义了一个参数，该参数是挖掘语言而不是外部固定的。我们还研究了人类循环行为的存在，以评估明显的异常值。经过分析后，我们发现数据集中的异常值不会显着影响整个Wikipedia-data集作为数字足迹来分析全球人类偏好。
Several studies have used Wikipedia (WP) data-set to analyse worldwide human preferences by languages. However, those studies could suffer from bias related to exceptional social circumstances. Any massive event promoting the exceptional edition of WP can be defined as a source of bias. In this article, we follow a procedure for detecting outliers. Our study is based on $12$ languages and $13$ different categories. Our methodology defines a parameter, which is language-depending instead of being externally fixed. We also study the presence of human cyclic behaviour to evaluate apparent outliers. After our analysis, we found that the outliers in our data set do not significantly affect using the whole Wikipedia-data set as a digital footprint to analyse worldwide human preferences.
