The epidemic spread of fake news is a side effect of the expansion of social networks to
circulate news, in contrast to traditional mass media such as newspapers, magazines, radio …

Emerging of social media creates inconsistencies in online news, which causes confusion
and uncertainty for consumers while making decisions regarding purchases. On the other …

Nowadays, social media has become the main source of news around the world. The
spread of fake news on social networks has become a serious global issue, damaging many …

Fake news is a major threat to democracy (eg, influencing public opinion), and its impact
cannot be understated particularly in our current socially and digitally connected society …

In the trend of the accelerated progression of communication network technology, the
emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other …

Social media network is one of the important parts of human life based on the recent
technologies and developments in terms of computer science area. This environment has …

In recent years, rumours and fake news are spreading widely and very rapidly all over the
world. Such circumstances lead to the propagation and production of an inaccurate news …

Fake news detection (FND) tools are essential to increase the reliability of information in
social media. FND can be approached as a machine learning classification problem so that …

Fake news, which considers and modifies facts for virality objectives, causes a lot of havoc
on social media. It spreads faster than real news and produces a slew of issues, including …

Abstract Machine learning methods to detect fake news typically use textual features and
Binary or Multi-class classification. However, accurately labeling a large news set is still a …