Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Cyberbullying is a growing problem across social media platforms, inflicting short and long-
lasting effects on victims. To mitigate this problem, research has looked into building …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

As crowdsourced user-generated content becomes an important source of data for
organizations, a pressing question is how to ensure that data contributed by ordinary people …

This paper aims to compare a new webcam-based eye-tracking system, integrated into the
Labvanced platform for online experiments, to a “gold standard” lab-based eye tracker …

The rapid proliferation of online content producing and sharing technologies resulted in an
explosion of user-generated content (UGC), which now extends to scientific data. Citizen …

Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

Big data have the characteristics of enormous volume, high velocity, diversity, value-sparsity,
and uncertainty, which lead the knowledge learning from them full of challenges. With the …