The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

Nowadays, fake news detection, which aims to verify whether a news document is trusted or
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …

Massive dissemination of fake news and its potential to erode democracy has increased the
demand for accurate fake news detection. Recent advancements in this area have proposed …

First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been
declared as a global emergency in January, and a pandemic in March 2020 by the World …

With the expansion of the Internet and attractive social media infrastructures, people prefer
to follow the news through these media. Despite the many advantages of these media in the …

The article explores the concept of infodemics during the COVID-19 pandemic, focusing on
the propagation of false or inaccurate information proliferating worldwide throughout the …

Fake news has become a major concern over the Internet. It influences people directly and
should be identified. In the recent years, various Machine Learning (ML) and Deep Learning …

In recent years, the consumption of social media content to keep up with global news and to
verify its authenticity has become a considerable challenge. Social media enables us to …

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread
rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear …