English

Web2Wiki: Characterizing Wikipedia Linking Across the Web

Social and Information Networks 2025-05-23 v1 Computers and Society Digital Libraries

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 three key findings: (1) Wikipedia is most frequently cited by news and science websites for informational purposes, while commercial websites reference it less often. (2) 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. (3) 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.

Keywords

Cite

@article{arxiv.2505.15837,
  title  = {Web2Wiki: Characterizing Wikipedia Linking Across the Web},
  author = {Veniamin Veselovsky and Tiziano Piccardi and Ashton Anderson and Robert West and Akhil Arora},
  journal= {arXiv preprint arXiv:2505.15837},
  year   = {2025}
}

Comments

13 pages, 3 figures, 5 tables

R2 v1 2026-07-01T02:29:23.489Z