Characterizing Knowledge Manipulation in a Russian Wikipedia Fork
- Proceedings of the International AAAI Conference on Web and Social Media, 2025
Abstract
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.
Citation
@article{trokhymovych-etal-2025-characterizing,
author = {Trokhymovych, Mykola and Kosovan, Oleksandr and Forrester, Nathan and Aragón, Pablo and Saez-Trumper, Diego and Baeza-Yates, Ricardo},
title = {Characterizing Knowledge Manipulation in a Russian Wikipedia Fork},
journal = {Proceedings of the International AAAI Conference on Web and Social Media},
volume = {19},
number = {1},
year = {2025},
month = jun,
pages = {1924--1936},
doi = {10.1609/icwsm.v19i1.35910},
url = {https://ojs.aaai.org/index.php/ICWSM/article/view/35910},
}Other publications
- Adversarial Creation and Detection of AI-Generated Social Bot Content (CIKM’26)
- Multilingual Reference Need Assessment System for Wikipedia (WWW’26)
- An End-to-End Ukrainian RAG for Local Deployment. Optimized Hybrid Search and Lightweight Generation (UNLP’26)
- Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection (ACL’25)
- Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine (UNLP’25)
- An Open Multilingual System for Scoring Readability of Wikipedia (ACL’24)
- Wikidata Vandalism Detection with Graph-Linguistic Fusion (2024)
- Fair Multilingual Vandalism Detection System for Wikipedia (KDD’23)
- GeoDD: End-to-End Spatial Data De-duplication System (2023)
- WikiFactFind: Semi-automated fact-checking based on Wikipedia (2022)
- WikiCheck: An End-to-End Open Source Automatic Fact-Checking API Based on Wikipedia (CIKM’21)