Due to the increasing number of users in social media, news articles can be quickly
published or share among users without knowing its credibility and authenticity. Fast …

Fake news detection mainly relies on the extraction of article content features with neural
networks. However, it has brought some challenges to reduce the noisy data and redundant …

The recent explosion in false information on social media has led to intensive research on
automatic fake news detection models and fact-checkers. Fake news and misinformation …

In recent years, due to the booming development of online social networks, fake news for
various commercial and political purposes has been appearing in large numbers and …

Fake news is challenging to detect due to mixing accurate and inaccurate information from
reliable and unreliable sources. Social media is a data source that is not trustworthy all the …

People may now receive and share information more quickly and easily than ever due to the
widespread use of mobile networked devices. However, this can occasionally lead to the …

A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …

Fake news is invalid and misleading information that is conveyed as accurate news. Fake
news detection has become indispensable in modern society because of the extreme …

Recently, there is a rapid and wide increase in fake news, defined as provably incorrect
information spread with the goal of fraud. The spread of this type of misinformation is a …

During the pandemic of COVID-19, the propagation of fake news is spreading like wildfire on
social media. Such fake news articles have created confusion among people and serious …