Web2Wiki: Characterizing Wikipedia Linking Across the Web

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Authors: Veniamin Veselovsky, Tiziano Piccardi, Ashton Anderson, Robert West, Akhil Arora
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Abstract

Wikipedia is one of the most visited websites globally, yet its role beyond its own platform remains largely unexplored. In this paper, we present the first large-scale analysis of how Wikipedia is referenced across the Web. Using a dataset from Common Crawl, we identify over 90 million Wikipedia links spanning 1.68% of Web domains and examine their distribution, context, and function. Our analysis of English Wikipedia reveals four key findings: (1) The topics of Wikipedia articles referenced on the Web differ from those cited on Reddit and those prominent within Wikipedia’s own link structure, (2) Wikipedia is most frequently cited by news and science websites for informational purposes, while commercial websites reference it less often. (3) The majority of Wikipedia links appear within the main content rather than in boilerplate or user-generated sections, highlighting their role in structured knowledge presentation. (4) Most links (95%) serve as explanatory references rather than as evidence or attribution, reinforcing Wikipedia’s function as a background knowledge provider. While this study focuses on English Wikipedia, our publicly released WEB2WIKI dataset includes links from multiple language editions, supporting future research on Wikipedia’s global influence on the Web.

Fields of Study & Subjects

Wikis in Education and Collaboration Knowledge Management and Sharing Information Retrieval and Search Behavior

Publication details

Journal / source
Proceedings of the International AAAI Conference on Web and Social Media
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Volume
20
Issue
1
Pages
2345–2357
Publication date
25 May 2026
Language
EN