论文标题
探索和提出Wikidata建议编辑的需求和偏好
Exploring and Eliciting Needs and Preferences from Editors for Wikidata Recommendations
论文作者
论文摘要
Wikidata是由全球志愿者社区创建，管理和维护的开放知识图。随着它的不断增长，它面临着重大的编辑互动挑战，包括收购新编辑来解决不断增加的工作量并保留现有编辑。包括Wikipedia在内的其他在线社区和同伴制作系统的经验表明，向编辑推荐任务可以帮助两者。本文我们的目的是提高Wikidata建议系统的用户要求。我们对31位Wikidata编辑和3位Wikimedia经理进行了深入的访谈进行了混合方法研究，并通过对3,740个Wikidata编辑的编辑记录进行了定量分析。从研究中获得的见解有助于我们概述Wikidata推荐系统的设计要求。最后，我们讨论了这项工作的含义以及对未来工作的指示。
Wikidata is an open knowledge graph created, managed, and maintained collaboratively by a global community of volunteers. As it continues to grow, it faces substantial editor engagement challenges, including acquiring new editors to tackle an increasing workload and retaining existing editors. Experiences from other online communities and peer-production systems, including Wikipedia, suggest that recommending tasks to editors could help with both. Our aim with this paper is to elicit the user requirements for a Wikidata recommendations system. We conduct a mixed-methods study with a thematic analysis of in-depth interviews with 31 Wikidata editors and three Wikimedia managers, complemented by a quantitative analysis of edit records of 3,740 Wikidata editors. The insights gained from the study help us outline design requirements for the Wikidata recommender system. We conclude with a discussion of the implications of this work and directions for future work.
