The progressive growth of today's digital world has made news spread exponentially faster
on social media platforms like Twitter, Facebook, and Weibo. Unverified news is often …

Pervasive usage and the development of social media networks have provided the platform
for the fake news to spread fast among people. Fake news often misleads people and …

The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …

Purpose The purpose of this study is to identify the relationship between artificial intelligence
(AI) and fake news detection. It also intended to explore the negative effects of fake news on …

Social media platforms now a day are mainly used for news consumption among users.
Political groups use social media platforms to attract users by enclosing users' votes in their …

With the rise in popularity of social media platforms and online forums, they have become a
global source of news. Fake News (FNs) spreading through numerous institutions and …

The wide spread of fake news has caused huge losses to both governments and the public.
Many existing works on fake news detection utilized spreading information like propagators …

One of the leading algorithms and architectures in deep learning is Convolution Neural
Network (CNN). It represents a unique method for image processing, object detection, and …

Due to the exponential increase in internet and social media users, fake news travels
rapidly, and no one is immune to its adverse effects. Various machine learning approaches …

Fake news and manipulated information affect the social, economic and emotional growth of
the world's population. For the identification of fake news, several classification systems are …