A Study on the Evolution of Crowdsourcing Websites

Authors

  • Evangelos Mourelatos Department of Economics, University of Patras
  • Nikos Frarakis
  • Manolis Tzagarakis

DOI:

https://doi.org/10.26417/ejser.v11i1.p29-40

Keywords:

Crowdsourcing, Online labor, Websites Review, Alexa Rankings, Regression Models

Abstract

Today hundreds of millions of Internet users are using crowdsourcing platforms either to work to an online job as workers, or as a model of problem solving and production as requesters. This growing workforce makes it necessary from the perspective of the online platforms, to fully understand the factors which contribute on this emerging and innovative “online labor”. We present a study comparing how crowdsourcing platforms have evolved over two time periods. The study explores in addition the effect of several factors of such websites on their traffic data and attention seeking. The results show that several website’s characteristic are strong indicators of its attempting to get and optimize potential workers’ or requesters’ attention.

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Published

2017-10-06