The phenomenon of fake news disseminates fabricated information presented in a news-like
fashion, posing significant challenges for news agencies regarding accurate processing and …

In this study, we introduce a novel method,“TransVAE-PAM”, for the classification of fake
news articles, tailored specifically for the Indian context. The approach capitalizes on state-of …

Fake news detection (FND) involves predicting the likelihood that a particular news article
(news report, editorial, expose, etc.) is intentionally deceptive. Arabic FND started to receive …

Fake news has a tremendous impact especially in certain fields like politics and economy in
our society. The rise of social media usage to an extent is in favour of fake/false news …

Fake news is a term used to describe inaccurate information that has been disseminated to
the public. This paper presents a novel approach to detect fake news using fine-tuned state …

In the past few decades, due to the growth of social networking sites such as Whatsapp and
Facebook, information distribution has been at a level never seen before. Knowing the …

Numerous approaches have been developed to identify fake news through machine
learning; however, these methods are predominantly assessed using singular datasets …

The internet has revolutionized global communication, connecting the entire world.
However, a significant challenge it faces is the rampant spread of fake news. Transformer …

Nowadays, social media and virtual networking hubs like Twitter, Facebook have become
an integral part of our daily lives. The recent boom in multimedia technology and increased …

Fake news, colloquially referred to as false news, exerts a profound influence on
fundamental facets of our societal framework. Manual fact verification is a frequently utilized …