跨维基百科语言的知识传播追踪
Tracking Knowledge Propagation Across Wikipedia Languages
摘要：
在本文中，我们提出了一个数据集的跨语言知识传播维基百科。该数据集涵盖了全部309种语言版本和3300万篇文章，旨在跟踪维基百科概念的完整传播历史，并允许对建立预测模型进行后续研究。为此，我们根据它们所涵盖的概念以语言不可知的方式对齐所有维基百科文章，这导致13M传播实例。据我们所知，这个数据集是第一个大规模探索完整的跨语言传播的数据集。与数据集一起，提供了传播的整体概述和有关潜在结构因素的关键见解，以帮助未来的研究。例如，我们发现，虽然长级联是不寻常的，传播往往会继续进一步一旦它达到四个以上的语言版本。我们还发现，语言版本的大小与传播速度有关。我们相信，该数据集不仅有助于维基百科增长的先前文献，而且还可以实现新的用例，例如用于解决知识差距的编辑推荐，虚假信息检测和文化关系分析。
英文摘要：
In this paper, we present a dataset of inter-language knowledge propagation in Wikipedia. Covering the entire 309 language editions and 33M articles, the dataset aims to track the full propagation history of Wikipedia concepts, and allow follow up research on building predictive models of them. For this purpose, we align all the Wikipedia articles in a language-agnostic manner according to the concept they cover, which results in 13M propagation instances. To the best of our knowledge, this dataset is the first to explore the full inter-language propagation at a large scale. Together with the dataset, a holistic overview of the propagation and key insights about the underlying structural factors are provided to aid future research. For example, we find that although long cascades are unusual, the propagation tends to continue further once it reaches more than four language editions. We also find that the size of language editions is associated with the speed of propagation. We believe the dataset not only contributes to the prior literature on Wikipedia growth but also enables new use cases such as edit recommendation for addressing knowledge gaps, detection of disinformation, and cultural relationship analysis.
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。
