Characterizing the time-perspective of nations with search engine query data

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Noguchi, Takao ^a   Stewart, Neil ^a   Olivola, Christopher Y ^b   Moat, Helen Susannah ^c   Preis, Tobias ^b  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA ANALYSIS; GROSS NATIONAL PRODUCT; INFORMATION RETRIEVAL; ONLINE SYSTEM; QUANTITATIVE ANALYSIS; SCORING SYSTEM; SEARCH ENGINE QUERY DATA; VALIDATION PROCESS; FORECASTING; HUMAN; INTERNATIONAL COOPERATION; INTERNET; SEARCH ENGINE; TIME;

FORECASTING; GROSS DOMESTIC PRODUCT; HUMANS; INTERNATIONALITY; INTERNET; SEARCH ENGINE; TIME FACTORS;

EID: 84899680705     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0095209     Document Type: Article

References (29)

1. Alanyali M, Moat HS, Preis T (2013) Quantifying the relationship between financial news and the stock market. Sci Rep 3: 3578. doi: 10. 1038/srep03578.
2. Bordino I, Battiston S, Caldarelli G, Cristelli M, Ukkonen A, et al. (2012) Web search queries can predict stock market volumes. PLoS One 7: e40014. doi: 10. 1371/journal. pone. 0040014.
3. Brownstein JS, Freifeld CC, Madoff LC (2009) Digital disease detection - Harnessing the web for public health surveillance. N Engl J Med 360: 2153-2157. doi: 10. 1056/NEJMp0900702.
4. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457: 1012-1014. doi: 10. 1038/nature07634.
5. Goodchild MF, Glennon JA (2010) Crowdsourcing geographic information for disaster response: a research frontier. Intl J Digital Earth 3: 231-241. doi: 10. 1080/17538941003759255.
6. Kristoufek L (2013) Can Google Trends search queries contribute to risk diversification? Sci Rep 3: 2713. doi: 10. 1038/srep02713.
7. Moat HS, Preis T, Olivola CY, Liu C, Chater N (2014) Using big data to predict collective behavior in the real world. Behav Brain Sci 37: 92-93. doi: 10. 1017/ S0140525X13001817.
8. Olivola CY, Sagara N (2009) Distributions of observed death tolls govern sensitivity to human fatalities. Proc Natl Acad Sci U S A 106: 22151-22156. doi: 10. 1073/pnas. 0908980106.
9. Preis T, Moat HS, Bishop SR, Treleaven P, Stanley HE (2013) Quantifying the digital traces of Hurricane Sandy on Flickr. Sci Rep 3: 3141. doi: 10. 1038/ srep03141.
10. Askitas N, Zimmermann KF (2009) Google econometrics and unemployment forecasting. Applied Economics Quarterly 55: 107-120.
11. Ettredge M, Gerdes J, Karuga G (2005) Using web-based search data to predict macroeconomic statistics. Commun ACM 48: 87-92. doi: 10. 1145/1096000. 1096010. (Pubitemid 43906448)
12. Choi H, Varian H (2012) Predicting the present with Google Trends. Econ Rec 88: 2-9. doi: 10. 1111/j. 1475-4932. 2012. 00809. x.
13. Goel S, Hofman JM, Lahaie S, Pennock DM, Watts DJ (2010) Predicting consumer behavior with Web search. Proc Natl Acad Sci U S A 107: 17486-17490. doi: 10. 1073/pnas. 1005962107.
14. Moat HS, Curme CC, Avakian A, Kenett DY, Stanley HE, Preis T (2013) Quantifying Wikipedia usage patterns before stock market moves. Sci Rep 3:1801. doi: 10. 1038/srep01801.
15. Preis T, Reith D, Stanley HE (2010) Complex dynamics of our economic life on different scales: Insights from search engine query data. Phil Trans R Soc A 368: 5707-5719. doi: 10. 1098/rsta. 2010. 0284.
16. Preis T, Moat HS, Stanley HE, Bishop SR (2012) Quantifying the advantage of looking forward. Sci Rep 2: 350. doi: 10. 1038/srep00350.
17. Preis T, Moat HS, Stanley HE (2013) Quantifying trading behavior in financial markets using Google Trends. Sci Rep 3: 1684. doi: 10. 1038/srep01684.
18. Zimbardo PG, Boyd J (1999) Putting time in perspective: A valid, reliable individual-differences metric. J Pers Soc Psychol 77: 1271-1288. doi: 10. 1037/0022-3514. 77. 6. 1271.
19. Strathman A, Gleicher F, Boninger DS, Edwards CS (1994) The consideration of future consequences: Weighting immediate and distant outcomes of behavior. J Pers Soc Psychol 66: 742-752. doi: 10. 1037/0022-3514. 66. 4. 742.
20. Bushman BJ, Giancola PR, Parrott DJ, Roth RM (2012) Failure to consider future consequences increases the effects of alcohol on aggression. J Exp Soc Psychol 48: 591-595. doi: 10. 1016/j. jesp. 2011. 11. 013.
21. Karniol R, Ross M (1996) The motivational impact of temporal focus: Thinking about the future and the past. Annu Rev Psychol 47: 593-620. doi: 10. 1146/ annurev. psych. 47. 1. 593. (Pubitemid 126416119)
22. Joireman J, Balliet D, Sprott D, Spangenberg E, Schultz J (2008) Consideration of future consequences, ego-depletion, and self-control: support for distinguishing between cfc-immediate and cfc-future sub-scales. Pers Individ Dif 45: 15-21. doi: 10. 1016/j. paid. 2008. 02. 011.
23. Joireman J, Kees J, Sprott D (2010) Concern with immediate consequences magnifies the impact of compulsive buying tendencies on college students' credit card debt. J Consum Aff 44: 155-178.
24. Reimers S, Maylor EA, Stewart N, Chater N (2009) Associations between a oneshot delay discounting measure and age, income, education and real-world impulsive behavior. Pers Individ Dif 47: 973-978. doi: 10. 1016/ j. paid. 2009. 07. 026.
25. Trope Y, Liberman N (2003) Temporal construal. Psychol Rev 110: 403-421. doi: 10. 1037/0033-295X. 110. 3. 403. (Pubitemid 37189432)
26. Simmons J, Nelson L, Simonsohn U (2011) False-positive Psychology: Undisclosed flexibility in data collection and analysis allow presenting anything as significant. Psychol Sci 22: 1359-1366. doi: 10. 1177/0956797611417632.
27. Hofstede G (2001) Culture's consequences: Comparing values, behaviors, institutions, and organizations across nations (2nd ed. ). California: Sage Publications.
28. Hofstede G, Hofstede GJ (2005) Cultures and organizations: Software of the mind (2nd ed. ). New York: McGraw-Hill.
29. Michel JB, Shen YK, Aiden AP, Veres A, Gray MK, et al. (2011) Quantitative analysis of culture using millions of digitized books. Science 331 (6014): 176-182. doi: 10. 1126/science. 1199644.