Crowd phenomena

Crowd phenomena have became an important paradigm for understanding the process of content creation, application design and development of collective intelligence in the WWW. This new track aims to collect original research addressing all the aspects of user generated content, crowdsourcing, and all other crowd phenomena that occur today over the WWW. Relevant topics include, but are not restricted to the ones below.

Topics of interest

  • Crowdsourcing and collective intelligence
  • Human computation and hybrid human-machine systems
  • Mining crowd-generated data
  • User-generated content and peer production
  • Crowd engagement mechanisms and motivations
  • Incentive design, evaluation, and applications in crowd contexts
  • Quality assurance and metrics in crowd-powered applications
  • Online labor marketplaces
  • Team formation and task workflow design and optimization
  • Interactions of machine learning and crowdsourcing
  • Decision-theoretic and game-theoretic modeling of crowd phenomena
  • Online reviews and reputation systems
  • Crowd phenomena in opinion formation and prediction markets
  • Usability and human factors in crowd applications
  • Real-time and mobile crowdsourcing
  • Social and economic impacts of crowd applications

Area Chairs

  • Panos Ipeirotis (New York University)
  • Stefano Leonardi (Sapienza University of Rome)

TPC Members

  • Andreas Krause (ETH Zurich)
  • Carlos Castillo (Qatar Computer Research Institute)
  • Ciro Cattuto (ISI Torino)
  • Daniel Weld (University of Washington)
  • Donald Kossmann (ETH Zürich)
  • Ingmar Weber (Qatar Computer Research Institute)
  • Irwin King (Chinese University of Hong Kong)
  • Marco Brambilla (Politecnico di Milano)
  • Patty Kotskova (UCL London)
  • Siddharth Suri (Microsoft Research)
  • Yaron Singer (Harvard)
  • Yoram Bachrach (Microsoft Research)