Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …

The widespread dissemination of misinformation in social media has recently received a lot
of attention in academia. While the problem of misinformation in social media has been …

Microblogging platforms are an ideal place for spreading rumors and automatically
debunking rumors is a crucial problem. To detect rumors, existing approaches have relied …

Artificial intelligence (AI) is creating a revolution in business and society at large, as well as
challenges for organizations. AI‐powered social bots can sense, think and act on social …

We address rumor detection by learning to differentiate between the community's response
to real and fake claims in microblogs. Existing state-of-the-art models are based on tree …

The fast spreading of fake news stories on social media can cause inestimable social harm.
Develo** effective methods to detect them early is of paramount importance. A major …

The recent growth of social networking platforms also led to the emergence of social
spammers, who overwhelm legitimate users with unwanted content. The existing social …

Social Networks' omnipresence and ease of use has revolutionized the generation and
distribution of information in today's world. However, easy access to information does not …

Attributed networks are a type of graph structured data used in many real-world scenarios.
Detecting anomalies on attributed networks has a wide spectrum of applications such as …