Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques and Assurance Actions

Understand

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

• Common problems approached with crowdsourcing are labeling images, translating or transcribing text, providing opinions or ideas, and similar - all tasks that computers are not good at or where they may even fail altogether.
• The introduction of humans into computations and/or everyday work, however, also poses critical, novel challenges in terms of quality control, as the crowd is typically composed of people with unknown and very diverse abilities, skills, interests, personal objectives and technological resources.
• This survey studies quality in the context of crowdsourcing along several dimensions, so as to define and characterize it and to understand the current state of the art.