research-article

A Large-Scale Characterization of How Readers Browse Wikipedia

Authors:

Tiziano Piccardi,

Martin Gerlach,

Robert WestAuthors Info & Claims

ACM Transactions on the Web, Volume 17, Issue 2

Article No.: 11, Pages 1 - 22

https://doi.org/10.1145/3580318

Published: 03 April 2023 Publication History

Abstract

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic large-scale analysis of how readers browse Wikipedia. Using billions of page requests from Wikipedia’s server logs, we measure how readers reach articles, how they transition between articles, and how these patterns combine into more complex navigation paths. We find that navigation behavior is characterized by highly diverse structures. Although most navigation paths are shallow, comprising a single pageload, there is much variety, and the depth and shape of paths vary systematically with topic, device type, and time of day. We show that Wikipedia navigation paths commonly mesh with external pages as part of a larger online ecosystem, and we describe how naturally occurring navigation paths are distinct from targeted navigation in lab-based settings. Our results further suggest that navigation is abandoned when readers reach low-quality pages. Taken together, these insights contribute to a more systematic understanding of readers’ information needs and allow for improving their experience on Wikipedia and the Web in general.

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Cited By

Wang LJin D(2024)A Time-Sensitive Graph Neural Network for Session-Based New Item RecommendationElectronics10.3390/electronics1301022313:1(223)Online publication date: 3-Jan-2024
https://doi.org/10.3390/electronics13010223
Zhou DPatankar SLydon-Staley DZurn PGerlach MBassett D(2024)Architectural styles of curiosity in global Wikipedia mobile app readershipScience Advances10.1126/sciadv.adn326810:43Online publication date: 25-Oct-2024
https://doi.org/10.1126/sciadv.adn3268
Scarone BBaeza-Yates RBernhardson E(2023)Understanding Search Behavior Bias in WikipediaAdvances in Bias and Fairness in Information Retrieval10.1007/978-3-031-37249-0_11(134-146)Online publication date: 15-Jul-2023
https://doi.org/10.1007/978-3-031-37249-0_11

Index Terms

A Large-Scale Characterization of How Readers Browse Wikipedia
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
  2. World Wide Web

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cover image ACM Transactions on the Web

ACM Transactions on the Web Volume 17, Issue 2

May 2023

170 pages

ISSN:1559-1131

EISSN:1559-114X

DOI:10.1145/3589222

Editor:
Ryen White
Microsoft Research, USA

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Publication History

Published: 03 April 2023

Online AM: 13 January 2023

Accepted: 04 November 2022

Revised: 26 October 2022

Received: 02 March 2022

Published in TWEB Volume 17, Issue 2

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Cited By

Wang LJin D(2024)A Time-Sensitive Graph Neural Network for Session-Based New Item RecommendationElectronics10.3390/electronics1301022313:1(223)Online publication date: 3-Jan-2024
https://doi.org/10.3390/electronics13010223
Zhou DPatankar SLydon-Staley DZurn PGerlach MBassett D(2024)Architectural styles of curiosity in global Wikipedia mobile app readershipScience Advances10.1126/sciadv.adn326810:43Online publication date: 25-Oct-2024
https://doi.org/10.1126/sciadv.adn3268
Scarone BBaeza-Yates RBernhardson E(2023)Understanding Search Behavior Bias in WikipediaAdvances in Bias and Fairness in Information Retrieval10.1007/978-3-031-37249-0_11(134-146)Online publication date: 15-Jul-2023
https://doi.org/10.1007/978-3-031-37249-0_11

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