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In this work, we study disagreement in discussions around Wikidata, an onlineknowledge community that builds the data backend of Wikipedia. Discussions areimportant in collaborative work as they can increase contributor performanceand encourage the emergence of shared norms and practices. While disagreementscan play a productive role in discussions, they can also lead to conflicts andcontroversies, which impact contributor well-being and their motivation toengage. We want to understand if and when such phenomena arise in Wikidata,using a mix of quantitative and qualitative analyses to identify the types oftopics people disagree about, the most common patterns of interaction, androles people play when arguing for or against an issue. We find that decisionsto create Wikidata properties are much faster than those to delete propertiesand that more than half of controversial discussions do not lead to consensus.Our analysis suggests that Wikidata is an inclusive community, consideringdifferent opinions when making decisions, and that conflict and vandalism arerare in discussions. At the same time, while one-fourth of the editorsparticipating in controversial discussions contribute with legit and insightfulopinions about Wikidata's emerging issues, they do not remain engaged in thediscussions. We hope our findings will help Wikidata support community decisionmaking, and improve discussion tools and practices.

Agreeing and Disagreeing in Collaborative Knowledge Graph Construction: An Analysis of Wikidata