Characterizing Opinion Dynamics and Group Decision Making in Wikipedia Content Discussions

Khandaker Tasnim Huq
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Abstract

Wikipedia, the online encyclopedia, is a trusted source of knowledge for millions of individuals worldwide. As everyone can start a new article, it is often necessary to decide whether certain entries meet the standards for inclusion set forth by the community. These decisions (which are known as “Article for Deletion”, or AfD) are taken by groups of editors in a deliberative fashion, and are known for displaying a number of common biases associated to group decision making. Here, we present an analysis of 1,967,768 AfD discussions between 2005 and 2018. We perform a signed network analysis to capture the dynamics of agreement and disagreement among editors. We measure the preference of each editor for voting toward either inclusion or deletion. We further describe the evolution of individual editors and their voting preferences over time, finding four major opinion groups. Finally, we develop a predictive model of discussion outcomes based on latent factors. Our results shed light on an important, yet overlooked, aspect of curation dynamics in peer production communities, and could inform the design of improved processes of collective deliberation on the web.
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维基百科内容讨论中意见动态和群体决策的特征
在线百科全书维基百科是全世界数百万人值得信赖的知识来源。由于每个人都可以开始一篇新文章,因此经常需要确定某些条目是否符合社区规定的纳入标准。这些决定(被称为“删除条目”或AfD)是由编辑小组以审议的方式做出的,并且以显示与小组决策相关的一些常见偏见而闻名。在这里,我们对2005年至2018年期间的1967,768次AfD讨论进行了分析。我们执行签名网络分析,以捕捉编辑之间的协议和分歧的动态。我们衡量了每位编辑对收录或删除投票的偏好。我们进一步描述了个人编辑及其投票偏好随时间的演变,发现了四个主要的意见群体。最后,我们建立了一个基于潜在因素的讨论结果预测模型。我们的研究结果揭示了对等生产社区中管理动态的一个重要但被忽视的方面,并可以为改进网络集体审议过程的设计提供信息。
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