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research article

A large scale study of reader interactions with images on Wikipedia

Rama, Daniele
•
Piccardi, Tiziano  
•
Redi, Miriam
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January 3, 2022
Epj Data Science

Wikipedia is the largest source of free encyclopedic knowledge and one of the most visited sites on the Web. To increase reader understanding of the article, Wikipedia editors add images within the text of the article's body. However, despite their widespread usage on web platforms and the huge volume of visual content on Wikipedia, little is known about the importance of images in the context of free knowledge environments. To bridge this gap, we collect data about English Wikipedia reader interactions with images during one month and perform the first large-scale analysis of how interactions with images happen on Wikipedia. First, we quantify the overall engagement with images, finding that one in 29 pageviews results in a click on at least one image, one order of magnitude higher than interactions with other types of article content. Second, we study what factors associate with image engagement and observe that clicks on images occur more often in shorter articles and articles about visual arts or transports and biographies of less well-known people. Third, we look at interactions with Wikipedia article previews and find that images help support reader information need when navigating through the site, especially for more popular pages. The findings in this study deepen our understanding of the role of images for free knowledge and provide a guide for Wikipedia editors and web user communities to enrich the world's largest source of encyclopedic knowledge.

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Type
research article
DOI
10.1140/epjds/s13688-021-00312-8
Web of Science ID

WOS:000737950600001

Author(s)
Rama, Daniele
Piccardi, Tiziano  
Redi, Miriam
Schifanella, Rossano
Date Issued

2022-01-03

Publisher

SPRINGER

Published in
Epj Data Science
Volume

11

Issue

1

Start page

1

Subjects

Mathematics, Interdisciplinary Applications

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Social Sciences, Mathematical Methods

•

Mathematics

•

Mathematical Methods In Social Sciences

•

wikipedia

•

images

•

computer vision

•

user behavior

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DLAB  
Available on Infoscience
January 31, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/184962
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