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arXiv:1906.08576cs.CY

Measuring the Importance of User-Generated Content to Search Engines

Nicholas Vincent, Isaac Johnson, Patrick Sheehan, Brent Hecht

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Abstract

Search engines are some of the most popular and profitable intelligent technologies in existence. Recent research, however, has suggested that search engines may be surprisingly dependent on user-created content like Wikipedia articles to address user information needs. In this paper, we perform a rigorous audit of the extent to which Google leverages Wikipedia and other user-generated content to respond to queries. Analyzing results for six types of important queries (e.g. most popular, trending, expensive advertising), we observe that Wikipedia appears in over 80% of results pages for some query types and is by far the most prevalent individual content source across all query types. More generally, our results provide empirical information to inform a nascent but rapidly-growing debate surrounding a highly-consequential question: Do users provide enough value to intelligent technologies that they should receive more of the economic benefits from intelligent technologies?

arXiv comments
This version includes a bibliography entry that was missing from the first version of the text due to a processing error. This is a preprint of a paper accepted at ICWSM 2019. Please cite that version instead
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cs.CYComputers and Society

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