International Journal of Internet Science


A peer reviewed open access journal for empirical findings, methodology, and theory of social and behavioral science concerning the Internet and its implications for individuals, social groups, organizations, and society.

Volume 10, Issue 1 (2015)

Crowdsourcing for Science
Ulf-Dietrich Reips1 & Uwe Matzat2
1University of Konstanz, Germany, 2Eindhoven University of Technology, The Netherlands

Summary: [OLD] While many colleagues within science are fed up with the “big data fad”, empirical analyses we conducted for the current editorial actually show an inconsistent picture: we use big data services to determine whether there really is an increase in writing about big data or even widespread use of the term. Google Correlate (http://www.google.com/trends/correlate/), the first free tool we are presenting here, doesn’t list the term, showing that number of searches for it are below an absolute minimum that is even mastered by terms like “brobdingnagian” or “sockdolager” (which apparently correlates >.80 in search patterns with searches for “oriental princess” btw.).
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Keywords: [OLD] Article impact, journal impact, Google Scholar Citations, ISI, editorial

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