On the Value of Wikipedia as a Gateway to the Web
By Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West. 2021
26 citations recorded by the source corpus.
By linking to external websites, Wikipedia can act as a gateway to the Web. To date, however, little is known about the amount of traffic generated by Wikipedia’s external links. We fill this gap in a detailed analysis of usage logs gathered from Wikipedia users’ client devices. Our analysis proceeds in three steps: First, we quantify the level of engagement with external links, finding that, in one month, English Wikipedia generated 43M clicks to external websites, in roughly even parts via links in infoboxes, cited references, and article bodies. Official links listed in infoboxes have by far the highest click-through rate (CTR), 2.47% on average. In particular, official links associated with articles about businesses, educational institutions, and websites have the highest CTR, whereas official links associated with articles about geographical content, television, and music have the lowest CTR. Second, we investigate patterns of engagement with external links, finding that Wikipedia frequently serves as a stepping stone between search engines and third-party websites, effectively fulfilling information needs that search engines do not meet. Third, we quantify the hypothetical economic value of the clicks received by external websites from English Wikipedia, by estimating that the respective website owners would need to pay a total of $7–13 million per month to obtain the same volume of traffic via sponsored search. Overall, these findings shed light on Wikipedia’s role not only as an important source of information, but also as a high-traffic gateway to the broader Web ecosystem.
Subfields: Communication, Information Systems, Information Retrieval & Search, Social Sciences & Humanities
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Information Systems
- Edouard Grave
- Aleksandra Piktus
- Gautier Izacard
- Patrick Lewis
- Armand Joulin
- Lucas Hosseini
- Samuel Broscheit
- Timo Schick
In Information Retrieval & Search
- Sebastian Riedel
- Fabio Petroni
- Gautier Izacard
- Patrick Lewis
- Edouard Grave
- Timo Schick
- Lucas Hosseini
- Aleksandra Piktus
Citations in the corpus
- Improving Wikipedia verifiability with AI (2022, background): “Several studies have also been conducted on user interactions with citations (Piccardi et al., 2020; Lewoniewski et al., 2020; Piccardi et al., 2021; Kaffee & Elsahar, 2021; Zagorova et al., 2022) that are tangential to our work.”