The past few years have witnessed the dramatic popularity of large-scale social networks
where malicious nodes detection is one of the fundamental problems. Most existing works …

With the enormous growth and volume of online social networks and their features, along
with the vast number of socially connected users, it has become difficult to explain the true …

Social media platforms are facing increasing numbers of cyber-adversaries seeking to
manipulate online discourse by using social bots (ie, social media software robots) to help …

Since the harmful consequences of the online publication of fake news have emerged
clearly, many research groups worldwide have started to work on the design and creation of …

Our work considers leveraging crowd signals for detecting fake news and is motivated by
tools recently introduced by Facebook that enable users to flag fake news. By aggregating …

Users increasingly rely on crowdsourced information, such as reviews on Yelp and Amazon,
and liked posts and ads on Facebook. This has led to a market for blackhat promotion …

Malicious crowdsourcing, also known as crowdturfing, has become an important security
problem. However, detecting accounts performing crowdturfing tasks is challenging because …

Our work considers leveraging crowd signals for detecting fake news and is motivated by
tools recently introduced by Facebook that enable users to flag fake news. By aggregating …

The rapid development of modern communication technologies-in particular,(mobile) phone
communications-has largely facilitated human social interactions and information exchange …

Online social networks have attracted billions of active users over the past decade. These
systems play an integral role in the everyday life of many people around the world. As such …