Characterizing Opinion Dynamics and Group Decision Making in Wikipedia Content Discussions

被引:0
作者
Huq, Khandaker Tasnim [1 ]
Ciampaglia, Giovanni Luca [1 ]
机构
[1] Univ S Florida, Tampa, FL 33620 USA
来源
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021) | 2021年
关键词
Wikipedia; Article for Deletion; Computational Social Science; Group decision-making; Discussion outcome prediction; Opinion dynamics;
D O I
10.1145/3442442.3452354
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:632 / 639
页数:8
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