A Large Scale Study of Reader Interactions with Images on Wikipedia
Daniele Rama, Tiziano Piccardi, Miriam Redi, Rossano Schifanella

TL;DR
This large-scale study analyzes how Wikipedia readers interact with images, revealing that images significantly increase engagement and are especially influential in shorter articles and specific topics, informing future content strategies.
Contribution
The paper provides the first large-scale analysis of Wikipedia image interactions, quantifying engagement and identifying factors influencing image clicks.
Findings
One in 29 pageviews results in an image click.
Image clicks are higher in shorter articles and certain topics.
Images support navigation and understanding, especially on popular pages.
Abstract
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…
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Taxonomy
TopicsWikis in Education and Collaboration
