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 …

A growing number of people are working as part of on-line crowd work. Crowd work is often
thought to be low wage work. However, we know little about the wage distribution in practice …

Despite the seemingly low switching and search costs of on-demand labor markets like
Amazon Mechanical Turk, we find substantial monopsony power, as measured by the …

Crowdwork is a type of work performed remotely on on-line platforms. It emerged in the
second half of the 2000s with the growth of the internet and the need to have human input …

With the widespread availability and pervasiveness of artificial intelligence (AI) in many
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …

Crowdsourcing is increasingly being used as a means to tackle problems requiring human
intelligence. With the ever-growing worker base that aims to complete microtasks on …

Micro-task crowdsourcing is rapidly gaining popularity among research communities and
businesses as a means to leverage Human Computation in their daily operations. Unlike …

Recent research has demonstrated that cognitive biases such as the confirmation bias or the
anchoring effect can negatively affect the quality of crowdsourced data. In practice, however …

Crowdsourced data acquired from tasks that comprise a subjective component (eg opinion
detection, sentiment analysis) is potentially affected by the inherent bias of crowd workers …

Workers of microtask crowdsourcing marketplaces strive to find a balance between the need
for monetary income and the need for high reputation. Such balance is often threatened by …