Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …

The primary threat to online social network (OSN) users is account compromisation. The
challenge in detecting a compromised account is due to the trusted relationship established …

With the rapid development of social commerce, how to push and diffuse marketing
messages in online social network (OSN) more effectively has increasingly become a …

There are plenty of applications that use graphs for representing the association between
different entities. Many research communities are interested in publishing such graphs to …

In the last few years, thanks to the emergence of Web 2.0, social media has made the
concept of online live events possible. Users participate more and more in long-running …

Despite the ongoing need for practitioners to identify violent extremists online before their
engagement in violence offline, little is empirically known about their digital footprints …

The purpose of this paper is to combine digital sensing technology with English character
recognition in order to improve its overall effectiveness. In addition, this paper will …

The existing deep learning-based detection of fake information focuses on the transient
detection of news itself. Compared to user category profile mining and detection, transient …

Online social networks (OSNs) is a platform that plays an essential role in identifying
misinformation like false rumors, insults, pranks, hoaxes, spear phishing and computational …

Discourse on short text platforms like Twitter shapes the design of underlying knowledge-
based recommendation engines. The resulting recommendations are powered by user …