Crowds, Gigs, and Super Sellers: A Measurement Study of a Supply-Driven Crowdsourcing Marketplace Conference Paper uri icon


  • 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.

name of conference

  • Proceedings of the Ninth International Conference on Web and Social Media, ICWSM 2015, University of Oxford, Oxford, UK, May 26-29, 2015

published proceedings

  • Proceedings of the International AAAI Conference on Web and Social Media

author list (cited authors)

  • Ge, H., Caverlee, J., & Lee, K.

citation count

  • 0

complete list of authors

  • Ge, Hancheng||Caverlee, James||Lee, Kyumin

editor list (cited editors)

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

publication date

  • January 2015