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 …

The increase of the amount of misinformation spread every day online is a huge threat to the
society. Organizations and researchers are working to contrast this misinformation plague. In …

Machine learning (ML) depends on data to train and verify models. Very often, organizations
outsource processes related to data work (ie, generating and annotating data and …

Crowdsourcing markets provide workers with a centralized place to find paid work. What
may not be obvious at first glance is that, in addition to the work they do for pay, crowd …

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 …

Web search is frequently used by people to acquire new knowledge and to satisfy learning-
related objectives, but little is known about how a user» s knowledge evolves through the …

The rise in popularity of conversational agents has enabled humans to interact with
machines more naturally. Recent work has shown that crowd workers in microtask …

Many companies gain external expertise, lower their costs and generate publicity by using
crowdsourcing platforms to complete tasks by leveraging the power of the crowd. However …

Web search is frequently used by people to acquire new knowledge and to satisfy learning-
related objectives. In this context, informational search missions with an intention to obtain …