Crowds, gigs, and super sellers: A measurement study of a supply-driven crowdsourcing marketplace Conference Paper uri icon

abstract

  • © Copyright 2015, Association for the Advancement of Artificial Intelligence. All rights reserved. The crowdsourcing movement has spawned a host of successful efforts that organize large numbers of globally-distributed participants to tackle a range of tasks. While many demand-driven crowd marketplaces have emerged (like Amazon Mechanical Turk, often resulting in workers that are essentially replace-able), we are witnessing the rise of supply-driven marketplaces where specialized workers offer their expertise. In this paper, we present a comprehensive data-driven measurement study of one prominent supply-driven marketplace - Fiverr - wherein we investigate the sellers and their offerings (called "gigs"). As part of this investigation, we identify the key features distinguishing "super sellers" from regular participants and develop a machine learning based approach for inferring the quality of gigs, which is especially important for the vast majority of gigs with little feedback.

author list (cited authors)

  • Ge, H., Caverlee, J., & Lee, K.

editor list (cited editors)

  • Cha, M., Mascolo, C., & Sandvig, C.

publication date

  • January 2015