论文标题

在2020年冠状病毒大流行期间Wikipedia高温合作的定量肖像

A Quantitative Portrait of Wikipedia's High-Tempo Collaborations during the 2020 Coronavirus Pandemic

论文作者

Keegan, Brian C., Tan, Chenhao

论文摘要

2020年的冠状病毒大流行是一种历史性的社会破坏,全球造成了重大后果。 Wikipedia是一种自由使用的,同行制作的百科全书,具有出色的能力,可以在当前事件后创建和修改内容。本研究使用从134,337个编辑到4,238篇文章的973,940个修订,研究了英语Wikipedia在2020年的前五个月中对冠状病毒大流行的反应的动态,作为“定量肖像”,作为“定量肖像”,描述了三级分析的紧急行为:分析的三级合作:文章Revishion Revishion Revishion Revishion,Editor,Editor和网络动态,和网络动态。在多个数据源,定量方法和分析级别中,我们发现了四个一致的主题,这些主题表征了Wikipedia独特的大型大规模,高温和临时在线合作:外部事件是活动的驱动因素,活动的溢出,编辑器的复杂模式,编辑器的互动模式以及未来的阴影。鉴于人们对在线社交平台管理用户的行为和内容的能力的越来越担忧,我们确定了维基百科的冠状病毒合作的影响,以提高危机期间社会技术系统的韧性。

The 2020 coronavirus pandemic was a historic social disruption with significant consequences felt around the globe. Wikipedia is a freely-available, peer-produced encyclopedia with a remarkable ability to create and revise content following current events. Using 973,940 revisions from 134,337 editors to 4,238 articles, this study examines the dynamics of the English Wikipedia's response to the coronavirus pandemic through the first five months of 2020 as a "quantitative portrait" describing the emergent collaborative behavior at three levels of analysis: article revision, editor contributions, and network dynamics. Across multiple data sources, quantitative methods, and levels of analysis, we find four consistent themes characterizing Wikipedia's unique large-scale, high-tempo, and temporary online collaborations: external events as drivers of activity, spillovers of activity, complex patterns of editor engagement, and the shadows of the future. In light of increasing concerns about online social platforms' abilities to govern the conduct and content of their users, we identify implications from Wikipedia's coronavirus collaborations for improving the resilience of socio-technical systems during a crisis.

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