“我更新了<ref>”：英文维基百科中参考文献的演变及其对Altmetrics的影响
'I Updated the <ref>': The Evolution of References in the English Wikipedia and the Implications for Altmetrics
摘要：
通过这项工作，我们提供了一个公开的数据集，包含了截至2019年6月英文维基百科中使用过的所有参考文献（超过5500万）的历史。我们采用了一种新的方法来识别和监控维基百科中的引用，这样我们就可以为每个引用提供相关操作的数据：创建，修改，删除和重新插入。这种方法的高准确性和由此产生的数据集通过一个全面的群众工作者标签活动得到了证实。我们使用数据集来研究维基百科引用的时间演变以及用户的编辑行为。我们发现有证据表明，在提高参考文献质量方面，人们做出了大量富有成效的持续努力：（1）参考文献和文档标识符（DOI，PubMedID，PMC，ISBN，ISSN，ArXiv ID）持续增加，（2）大多数参考文献的管理工作都是由注册人员（而不是机器人或匿名编辑）完成的。我们的结论是，维基百科的参考文献的演变，包括倾向于他们的社区进程的动态应该利用在相关性指标的设计altmetrics，我们的数据集可以是关键的这样的努力。
英文摘要：
With this work, we present a publicly available dataset of the history of all the references (more than 55 million) ever used in the English Wikipedia until June 2019. We have applied a new method for identifying and monitoring references in Wikipedia, so that for each reference we can provide data about associated actions: creation, modifications, deletions, and reinsertions. The high accuracy of this method and the resulting dataset was confirmed via a comprehensive crowdworker labelling campaign. We use the dataset to study the temporal evolution of Wikipedia references as well as users' editing behaviour. We find evidence of a mostly productive and continuous effort to improve the quality of references: (1) there is a persistent increase of reference and document identifiers (DOI, PubMedID, PMC, ISBN, ISSN, ArXiv ID), and (2) most of the reference curation work is done by registered humans (not bots or anonymous editors). We conclude that the evolution of Wikipedia references, including the dynamics of the community processes that tend to them should be leveraged in the design of relevance indexes for altmetrics, and our dataset can be pivotal for such effort.
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。
