Web Search Volume as a Predictor of Academic Fame: An Exploration of Google Trends Vaughan, Liwen Romero Frías, Esteban Webometrics Web search volume Google trends University rankings "This is the peer reviewed version of the following article: Vaughan, L.; Romero-Frías, E. “Web Search Volume as a Predictor of Academic Fame: An Exploration of Google Trends. Journal of the American Society for Information Science and Technology, 65(4): 707-720 (2014), which has been published in final form at http://dx.doi.org/10.1002/asi.23016 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving." Searches conducted on Web search engines reflect issues of interest to users and to society in general. Google Trends, which provides information about the queries searched by users of the Google Web search engine, is a rich data source from which a wealth of information can be mined. We investigated the possibility of using Web search volume data from Google Trends to predict academic fame. As queries are language dependent, we studied universities from two countries with different languages, the U.S. and Spain. We found a significant correlation between the search volume of a university name and the university’s academic reputation or fame. We also examined the effect of some Google Trends features, namely limiting the search to a specific country or topic category, on the search volume data. Finally, we examined the effect of university sizes on the correlations found to gain a deeper understanding of the nature of the relationships. 2018-01-15T08:31:28Z 2018-01-15T08:31:28Z 2014 info:eu-repo/semantics/article Vaughan, L.; Romero-Frías, E. Web Search Volume as a Predictor of Academic Fame: An Exploration of Google Trends. Journal of the American Society for Information Science and Technology, 65(4): 707-720 (2014). [http://hdl.handle.net/10481/48879] 1532-2882 1532-2890 http://hdl.handle.net/10481/48879 10.1002/asi.23016 eng http://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Association for Information Science and Technology