Internet Search Data and Issue Salience: The Properties of Google Trends as a Measure of Issue Salience

Journal of Elections, Public Opinion and Parties

Volumn 24, Issue 1, 2014, Pages 45-72

  Mellon, Jonathan ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84890801998     PISSN: 17457289     EISSN: 17457297     Source Type: Journal    
DOI: 10.1080/17457289.2013.846346     Document Type: Article

References (52)

1. Bartle, John & Laycock, Samantha (2012) Telling more than they can know? Does the most important issue really reveal what is most important to voters? Electoral Studies, 31(4), pp. 679-688. doi: 10.1016/j.electstud.2012.07.005
2. Baumgartner, Frank, Jones, Bryan, Adler, Scott & Wilkerson, John (2006) Public policy agendas project topic codebook, available at (accessed 20 October 2012).
3. Bélanger, Eric & Meguid, Bonnie M. (2008) Issue salience, issue ownership, and issue-based vote choice. Electoral Studies, 27(3), pp. 477-491. doi: 10.1016/j.electstud.2008.01.001
4. Boulton, Andrew, Devriendt, Lomme, Brunn, Stan, Derudder, Ben & Witlox, Frank (2011) City networks in cyberspace and time: using Google hyperlinks to measure global economic and environmental crises, in: Rodrigo J. Firmino, Fabio Duarte & Clovis Ultramari (eds) ICTs for Mobile and Ubiquitous Urban Infrastructures (Hershey, PA: IGI Global), pp. 67-87.
5. Brosius, Hans-Bernd & Kepplinger, Hans Mathias (1992) Linear and nonlinear models of agenda-setting in television. Journal of Broadcasting & Electronic Media, 36(1), pp. 5-23. doi: 10.1080/08838159209364151
6. Carmines, Edward G. & Zeller, Richard A. (1979) Reliability and Validity Assessment (Thousand Oaks, CA: SAGE).
7. Chong, Dennis & Druckman, James N. (2010) Dynamic public opinion: communication effects over time. American Political Science Review, 104(4), pp. 663-680. doi: 10.1017/S0003055410000493
8. Clarke, Harold D., Kornberg, Allan, Scotto, Thomas J. & Stewart, Marianne C. (2012) Political choices in hard times: voting in the 2010 U.S. House elections. Journal of Elections, Public Opinion & Parties, 22(2), pp. 139-165. doi: 10.1080/17457289.2012.662983
9. Cleveland, Robert, Cleveland, William, McRae, Jean & Terpenning, Irma (1990) STL: a seasonal-trend decomposition procedure based on Loess (with discussion). Journal of Official Statistics, 6, pp. 3-73.
10. Davidson, Russell & MacKinnon, James G. (1993) Estimation and Inference in Econometrics (New York and Oxford: Oxford University Press).
11. Du, Jia Tina & Spink, Amanda (2011) Toward a web search model: integrating multitasking, cognitive coordination, and cognitive shifts. Journal of the American Society for Information Science and Technology, 62(8), pp. 1446-1472. doi: 10.1002/asi.21551
12. Dube, Arindrajit & Kaplan, Ethan (2012) Occupy Wall Street and the political economy of inequality. The Economists' Voice, 9(3), pp. 1-7. doi: 10.1515/1553-3832.1899
13. Ellis, Curtis, Swearingen, Colin & Ripberger, Joseph T. (2011) Examining the impact of public attention on fundraising in U.S. Senate elections. SSRN eLibrary.
14. Ford, Nigel, Miller, David & Moss, Nicola (2001) The role of individual differences in Internet searching: an empirical study. Journal of the American Society for Information Science and Technology, 52(12), pp. 1049-1066. doi: 10.1002/asi.1165
15. Gallup (2010) US national polls 2004-2010, in: The Roper Center iPoll database, University of Connecticut.
16. Ginsberg, Jeremy, Mohebbi, Matthew H., Patel, Rajan S., Brammer, Lynnette, Smolinski, Mark S. & Brilliant, Larry (2008) Detecting influenza epidemics using search engine query data. Nature, 457(7232), pp. 1012-1014. doi: 10.1038/nature07634
17. Google (2004) Google Trends (formerly Google Insights for Search), available at (accessed January 2011).
18. Graefe, Andreas & Armstrong, J. Scott (2012) Predicting elections from the most important issue: a test of the take-the-best heuristic. Journal of Behavioral Decision Making, 25(1), pp. 41-48. doi: 10.1002/bdm.710
19. Granger, C.W.J. & Newbold, P. (1974) Spurious regressions in econometrics. Journal of Econometrics, 2(2), pp. 111-120. doi: 10.1016/0304-4076(74)90034-7
20. Granka, Laura A. (2010) Measuring agenda setting with online search traffic: influences of online and traditional media. SSRN eLibrary.
21. Hansen, Bruce E. (1995) Rethinking the univariate approach to unit root testing: using covariates to increase power. Econometric Theory, 11(5), pp. 1148-1171. doi: 10.1017/S0266466600009993
22. Jennings, Will (2009) The public thermostat, political responsiveness and error-correction: border control and asylum in Britain, 1994-2007. British Journal of Political Science, 39(4), pp. 847-870. doi: 10.1017/S000712340900074X
23. Jennings, Will & Wlezien, Christopher (2011) Distinguishing between most important problems and issues? Public Opinion Quarterly, 75(3), pp. 545-555. doi: 10.1093/poq/nfr025
24. Jones, Bryan D. (1994) Reconceiving Decision-Making in Democratic Politics: Attention, Choice, and Public Policy (Chicago and London: University of Chicago Press).
25. Jones, Bryan D., Larsen-Price, Heather & Wilkerson, John (2009) Representation and American governing institutions. The Journal of Politics, 71(1), pp. 277-290. doi: 10.1017/S002238160809018X
26. Kahn, Matthew E. & Kotchen, Matthew J. (2010) Environmental concern and the business cycle: the chilling effect of recession. Working paper 16241 (National Bureau of Economic Research).
27. McCombs, Maxwell (2005) A look at agenda-setting: past, present and future. Journalism Studies, 6(4), pp. 543-557. doi: 10.1080/14616700500250438
28. McCombs, Maxwell E. & Shaw, Donald L. (1972) The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), pp. 176-187. doi: 10.1086/267990
29. McDonald-Johnson, Kathleen M., Monsell, Brian, Fescina, Ryan, Feldpausch, Roxanne, Harvil Hood, Catherine C. & Wroblewski, Monica (2010) Seasonal adjustment diagnostics. Tech. rep., pp. 1-5.
30. Newey, Whitney K. & West, Kenneth D. (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), pp. 703-708. doi: 10.2307/1913610
31. Niemi, Richard G. & Bartels, Larry M. (1985) New measures of issue salience: an evaluation. The Journal of Politics, 47(4), pp. 1212-1220. doi: 10.2307/2130815
32. Oltra, Christian (2011) Stakeholder perceptions of biofuels from microalgae. Energy Policy, 39(3), pp. 1774-1781. doi: 10.1016/j.enpol.2011.01.009
33. Pelc, Krzysztof J. (2013). Googling the WTO: what search-engine data tell us about the political economy of institutions. International Organization, 67(3), pp. 629-655.
34. Pew (2010) Pew December 2010 Survey Dataset, available at (accessed 20 October 2012).
35. Price, Vincent (1992) Public Opinion (Newbury Park and London: Sage).
36. Quigley, Robert (2009) Why big government could make Andrew Breitbart the right's Huffington. Mediaite, available at (accessed 01 October 2013).
37. Reher, Stefanie (2012) Substantive representation and satisfaction with democracy in the 2009 German federal elections: the case for issue-salience congruence. Elections, Public Opinion and Parties Conference 2012.
38. Reilly, Shauna, Richey, Sean & Taylor, J. Benjamin (2012) Using Google search data for state politics research: an empirical validity test using roll-off data. State Politics & Policy Quarterly, 12(2), pp. 146-159. doi: 10.1177/1532440012438889
39. Reis, Ben & Brownstein, John (2010) Measuring the impact of health policies using Internet search patterns: the case of abortion. BMC Public Health, 10(1), p. 514. doi: 10.1186/1471-2458-10-514
40. RePass, David E. (1971) Issue salience and party choice. American Political Science Review, 65(2), pp. 389-400. doi: 10.2307/1954456
41. Ripberger, Joseph T. (2011) Capturing curiosity: using Internet search trends to measure public attentiveness. Policy Studies Journal, 39(2), pp. 239-259. doi: 10.1111/j.1541-0072.2011.00406.x
42. Scharkow, Michael & Vogelgesang, Jens (2011) Measuring the public agenda using search engine queries. International Journal of Public Opinion Research, 23(1), pp. 104-113. doi: 10.1093/ijpor/edq048
43. 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), pp. 285-295. doi: 10.1111/j.1540-6237.2011.00768.x
44. Shephard, Mark (2007) Multiple audiences, multiple messages? An exploration of the dynamics between the party, the candidates and the various constituencies. Journal of Elections, Public Opinion & Parties, 17(2), pp. 181-201. doi: 10.1080/13689880701355600
45. Silver, Nate (2012) Maine caucus offers an opportunity for Paul, available at (accessed 18 October 2012).
46. Soroka, Stuart N. (2002) Number of responses and the most important problem. Nuffield College Politics Working Paper Series.
47. Soroka, Stuart N. & Wlezien, Christopher (2009) Degrees of Democracy: Politics, Public Opinion, and Policy, 1st edn (Cambridge and New York: Cambridge University Press).
48. US Energy Information Administration (2012) Gasoline and diesel fuel update, available at (accessed 20 October 2012).
49. Weeks, Brian & Southwell, Brian (2010) The symbiosis of news coverage and aggregate online search behavior: Obama, rumors, and presidential politics. Mass Communication and Society, 13(4), pp. 341-360. doi: 10.1080/15205430903470532
50. Weiner, Rachel (2012) Google shows how debate hurt Rick Santorum, available at (accessed on 18 October 2012).
51. Wlezien, Christopher (2005) On the salience of political issues: the problem with "most important problem". Electoral Studies, 24(4), pp. 555-579. doi: 10.1016/j.electstud.2005.01.009
52. Wooldridge, Jeffrey M. (2009) Introductory Econometrics: A Modern Approach (Australia and United Kingdom: South-Western Cengage Learning).