Wikiwhere：一个研究维基百科参考文献地理来源的交互式工具
Wikiwhere: An interactive tool for studying the geographical provenance of Wikipedia references
摘要：
不同语言版本的同一主题的维基百科条目是基于不同的信息来源构建的。例如，在英文维基百科题为“俄罗斯联邦吞并克里米亚”的文章中，人们可以找到与德文维基百科文章（通过维基百科的语言链接确定）非常不同的新闻文章。这种差异当然可以归因于不同语言版本的读者和编辑的不同语言专业，然而，尽管德语版中包含英语新闻来源似乎没有问题，但列出的英语参考文献与文章的英语版本中的参考文献并没有高度重叠。这种模式可能是在引用维基百科中的事实和陈述时对某些国家背景的偏见的指标。然而，确定每个参考文献可以追溯到哪个国家的背景，并相互比较链接分布对于非技术背景的普通读者或科学家来说是不可行的。Wikiwhere通过分析和可视化包含在给定维基百科条目中的外部参考链接的地理位置来回答Web参考来源的问题。我们的机器学习模型考虑了几个特征，而不是仅仅依赖于给定URL的IP位置。
英文摘要：
Wikipedia articles about the same topic in different language editions are built around different sources of information. For example, one can find very different news articles linked as references in the English Wikipedia article titled "Annexation of Crimea by the Russian Federation" than in its German counterpart (determined via Wikipedia's language links). Some of this difference can of course be attributed to the different language proficiencies of readers and editors in separate language editions, yet, although including English-language news sources seems to be no issue in the German edition, English references that are listed do not overlap highly with the ones in the article's English version. Such patterns could be an indicator of bias towards certain national contexts when referencing facts and statements in Wikipedia. However, determining for each reference which national context it can be traced back to, and comparing the link distributions to each other is infeasible for casual readers or scientists with non-technical backgrounds. Wikiwhere answers the question where Web references stem from by analyzing and visualizing the geographic location of external reference links that are included in a given Wikipedia article. Instead of relying solely on the IP location of a given URL our machine learning models consider several features.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
