In this work, we study disagreement in discussions around Wikidata, an online knowledge community that builds the data backend of Wikipedia. Discussions are important in collaborative work as they can increase contributor performance and encourage the emergence of shared norms and practices. While disagreements can play a productive role in discussions, they can also lead to conflicts and controversies, which impact contributor well-being and their motivation to engage. We want to understand if and when such phenomena arise in Wikidata, using a mix of quantitative and qualitative analyses to identify the types of topics people disagree about, the most common patterns of interaction, and roles people play when arguing for or against an issue. We find that decisions to create Wikidata properties are much faster than those to delete properties and that more than half of controversial discussions do not lead to consensus. Our analysis suggests that Wikidata is an inclusive community, considering different opinions when making decisions, and that conflict and vandalism are rare in discussions. At the same time, while one-fourth of the editors participating in controversial discussions contribute with legit and insightful opinions about Wikidata's emerging issues, they do not remain engaged in the discussions. We hope our findings will help Wikidata support community decision making, and improve discussion tools and practices.

翻译：本文研究了围绕维基数据（Wikidata）讨论中的分歧现象。维基数据是一个在线知识社区，为维基百科构建数据后端。讨论在协作工作中具有重要意义，既能提升贡献者的绩效，又能促进共享规范与实践的形成。尽管分歧在讨论中可能发挥建设性作用，但也可能导致冲突和争议，影响贡献者的福祉及其参与动力。我们采用定量与定性混合分析方法，探究维基数据中此类现象是否及何时出现，识别人们存在分歧的主题类型、最常见的互动模式，以及人们在支持或反对某个议题时所扮演的角色。研究发现：维基数据属性的创建决策速度远快于删除决策，且超过一半的争议性讨论未能达成共识。分析表明，维基数据是一个包容性社区，决策时会考虑不同意见，讨论中的冲突与蓄意破坏行为较为罕见。同时，尽管参与争议性讨论的编辑者中有四分之一对维基数据的新兴问题提出了合理且富有洞见的观点，但他们并未持续参与讨论。我们希望研究结果能帮助维基数据优化社区决策机制，改进讨论工具与实践。