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

While crowd workers typically complete a variety of tasks in crowdsourcing platforms, there
is no widely accepted method to successfully match workers to different types of tasks …

Clear instructions are a necessity for obtaining accurate results from crowd workers. Even
small ambiguities can force workers to choose an interpretation arbitrarily, resulting in errors …

Multi-list recommender systems have become widespread in entertainment and e-
commerce applications. Yet, extensive user evaluation research is missing. Since most …

In today's world, crowdsourcing initiatives have gained wide adoption. However, in
crowdsourcing initiatives, sporadic use alone is not enough for the application to be …

The increasing need to compete in innovation and the prevalence of IT in social and
economic interactions have led to greater globalization in innovation sourcing, particularly …

Employee misconduct is costly to organizations and has the potential to be even more
common in gig and remote work contexts, in which workers are physically distant from their …

Crowdsourcing allows users to offload tedious work to an on-demand workforce. However,
the time saved by the requesters is often offset by the time they must spend preparing …

Paid micro-task crowdsourcing has gained in popularity partly due to the increasing need for
large-scale manually labelled datasets which are often used to train and evaluate Artificial …