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Where and When Can We Use Google Trends to Measure Issue Salience?

Published online by Cambridge University Press:  28 March 2013

Jonathan Mellon
Jonathan Mellon*
Affiliation:
Nuffield College, University of Oxford
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Extract

Google search data have several major advantages over traditional survey data. First, the high costs of running frequent surveys mean that most survey questions are only asked occasionally making comparisons over time difficult. By contrast, Google Trends provides information on search trends measured weekly. Second, there are many countries where surveys are only conducted sporadically, whereas Google search data are available anywhere in the world where sufficient numbers of people use its search engine. The Google Trends website allows researchers to download data for almost all countries at no cost and to download time series of any search term's popularity over time (provided enough people have searched for it). For these reasons, Google Trends is an attractive data source for social scientists.

Type
Symposium: Technology, Data, and Politics
Information
PS: Political Science & Politics , Volume 46 , Issue 2 , April 2013 , pp. 280 - 290
Copyright
Copyright © American Political Science Association 2013

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References

REFERENCES

CIS. 2012. CIS Centro de Investigaciones Sociológicas Página de inicio. http://www.cis.es/cis/opencms/ES/index.html (accessed on October 1, 2012).Google Scholar
Cleveland, Robert, Cleveland, William, Mcrae, Jean, and Terpenning, Irma. 1990. “STL: A Seasonal-Trend Decomposition Procedure Based on Loess (with Discussion).” Journal of Official Statistics 6: 3–73.Google Scholar
Eurobarometer. 2006. E-communications Household Survey 2005. Special 249.Google Scholar
Eurobarometer. 2012. E-communications Household Survey 2011. Special 381.Google Scholar
Evans, Warren. 2012. “Petroleum.” In Digest of United Kingdom Energy Statistics 2012, eds. MacLeay, Iain, Harris, Kevin, and Annut, Anwar. Digest of United Kingdom Energy Statistics (DUKES). Department of Energy and Climate Change. London: The Stationery Office.Google Scholar
Findley, David F., Monsell, Brian C., Bell, William R., Otto, Mark C., and Chen, Bor-Chung. 1998. “New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program.” Journal of Business & Economic Statistics 16 (2): 127–52.Google Scholar
Fuchs, Christian. 2009. “The Role of Income Inequality in a Multivariate Cross-National Analysis of the Digital Divide.” Social Science Computer Review 27 (1): 41–58.CrossRefGoogle Scholar
Ginsberg, Jeremy, Mohebbi, Matthew H., Patel, Rajan S., Brammer, Lynnette, Smolinski, Mark S., and Brilliant, Larry. 2008. “Detecting Influenza Epidemics Using Search Engine Query Data.” Nature 457 (7232): 1012–14.CrossRefGoogle Scholar
Google. 2012. Google Trends—Web Search Interest: Ron Paul, Mitt Romney, Herman Cain, Rick Santorum, Newt Gingrich—Worldwide, Sep 2011–Jul 2012. http://www.google.com/trends/explore#q=ron%20paul%2C%20mitt%20romney%2C%20herman%20cain%2C%20rick%20santorum%2C%20newt%20gingrich&date=9%2F2011%2011m&cmpt=q (accessed on October 1, 2012).Google Scholar
Granger, Clive W. J., and Newbold, Paul. 1974. “Spurious Regressions in Econometrics.” Journal of Econometrics 2 (2): 111–20.CrossRefGoogle Scholar
Ipsos MORI. 2012. Ipsos MORI Issues Index Archive. http://www.ipsos-mori.com/researchpublications/researcharchive/2420/Issues-Index-Archive.aspx?view=wide (accessed on October 6, 2012).Google Scholar
Mellon, Jonathan. 2011. “Search Indices and Issue Salience: The Properties of Google Trends as a Measure of Issue Salience.” Elections, Public Opinion and Parties 2012 Conference. University of Oxford.CrossRefGoogle Scholar
Scheitle, Christopher P. 2011. “Google's Insights for Search: A Note Evaluating the Use of Search Engine Data in Social Research.” Social Science Quarterly 92 (1): 285–295.CrossRefGoogle Scholar
StatCounter. 2012. StatCounter Global Stats. http://gs.statcounter.com (accessed on November 11, 2012).Google Scholar
Wooldridge, Jeffrey M. 2009. Introductory Econometrics: A Modern Approach. Independence, KY: Cengage Learning.Google Scholar