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Characterizing Knowledge Manipulation in a Russian Wikipedia Fork

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arxiv 2504.10663 v2 pith:YQDSJITQ submitted 2025-04-14 cs.CL cs.AI

classification cs.CLcs.AI
keywords wikipediarussianforkchangesknowledgemanipulationruwikianalysis
verification ladder T0 review T1 audit T2 compute T3 formal
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Wikipedia is powered by MediaWiki, a free and open-source software that is also the infrastructure for many other wiki-based online encyclopedias. These include the recently launched website Ruwiki, which has copied and modified the original Russian Wikipedia content to conform to Russian law. To identify practices and narratives that could be associated with different forms of knowledge manipulation, this article presents an in-depth analysis of this Russian Wikipedia fork. We propose a methodology to characterize the main changes with respect to the original version. The foundation of this study is a comprehensive comparative analysis of more than 1.9M articles from Russian Wikipedia and its fork. Using meta-information and geographical, temporal, categorical, and textual features, we explore the changes made by Ruwiki editors. Furthermore, we present a classification of the main topics of knowledge manipulation in this fork, including a numerical estimation of their scope. This research not only sheds light on significant changes within Ruwiki, but also provides a methodology that could be applied to analyze other Wikipedia forks and similar collaborative projects.

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  1. Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine

    cs.CL 2025-05 conditional novelty 4.0 of 10

    A shared-task system that fine-tunes Gemma 2 with LoRA and XLM-RoBERTa to classify and locate manipulative narratives in Ukrainian/Russian Telegram posts, placing 2nd and 3rd in the UNLP 2025 competition.

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