Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …

Self-service spatiotemporal crowdsourcing (SSC), a booming variant of spatiotemporal
crowdsourcing (SC), emerges because of the vigorous development of the mobile Internet …

In mass crowdsourcing, a platform is used for task allocation. Large complex tasks may be
assigned to teams directly. To ensure the rapid accomplishment of tasks, we need to assign …

Quasi group role assignment (QGRA) presents a novel social computing model designed to
address the burgeoning domain of self-service spatiotemporal crowdsourcing (SSC) …

Citizen science projects have been very successful at collecting rich datasets for different
applications. However, the data collected by the citizen scientists are often biased, more …

Volunteer-based crowdsourcing depend critically on maintaining the engagement of
participants. We explore a methodology for extending engagement in citizen science by …

The resourcefulness of crowdsourcing can be used to handle a wide range of complex
macro-tasks, such as travel planning, translation, and software development. Multi-phase …

With the proliferation of increasingly powerful mobile devices and wireless networks, mobile
crowdsourcing has emerged as a novel service paradigm. It enables crowd workers to take …

The advantages and disadvantages of different crowdsourcing workflow structures have
been analyzed. Existing studies on crowdsourcing workflow mainly focused on the quality …