Rules and Rule-Making in the Five Largest Wikipedias

Author:

Hwang Sohyeon,Shaw Aaron

Abstract

The governance of many online communities relies on rules created by participants. However, prior work provides limited evidence about how these self-governance efforts compare and relate to one another across communities. Studies tend either to analyze communities as discrete entities or consider communities that coexist within a hierarchically-managed platform. In this paper, we investigate both comparative and relational dimensions of self-governance in similar communities. We use exhaustive trace data from the five largest language editions of Wikipedia over almost 20 years since their founding, and consider both patterns in rule-making and overlaps in rule sets. We find similar rule-making activity across the five communities that replicates and extends prior work on English language Wikipedia alone. However, we also find that these Wikipedias have increasingly unique rule sets, even as editing activity concentrates on rules shared between them. Self-governing communities aligned in key ways may share a common core of rules and rule-making practices as they develop and sustain institutional variations.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A step forward in tracing and documenting dataset provenance;Nature Machine Intelligence;2024-08-30

2. "Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. NLP4Gov: A Comprehensive Library for Computational Policy Analysis;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-02

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