Wikipedia Page View Reflects Web Search Trend
Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto
TL;DR
This study explores the potential of using Wikipedia page view data as a proxy for web search trends, finding high correlation with actual search frequencies and offering an accessible alternative for trend analysis.
Contribution
It demonstrates that Wikipedia page views can effectively estimate global web search trends, providing an alternative to restricted search log data.
Findings
High correlation between search keywords and Wikipedia page views
Wikipedia page views can serve as a proxy for search trend analysis
Open data from Wikipedia offers a practical resource for trend monitoring
Abstract
The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, we investigate whether search frequency can be estimated from a different resource such as Wikipedia page views of open data. We found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends.
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