Fake news, or fabric which appeared to be untrue with point of deceiving the open, has
developed in ubiquity in current a long time. Spreading this kind of data undermines societal …

The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …

Ensuring the credibility of online consumer reviews (OCRs) is a growing societal concern.
However, the problem of fake reviewers on online platforms significantly influences e …

In an environment full of disordered information, the media spreads fake or harmful
information into the public arena with a speed which is faster than ever before. A news report …

The spread of fake news has become a significant social problem, drawing great concern for
fake news detection (FND). Pretrained language models (PLMs), such as BERT and …

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 …

Recently, fake news has been widely spread through the Internet due to the increased use
of social media for communication. Fake news has become a significant concern due to its …

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 …

Fake news causes a huge impact on the reader's mind, therefore it has become a major
concern. Identifying fake news or differentiating between fake and authentic news is quite …

The abundance of heavy data on social media enables users to share opinions freely,
leading to the rapid spread of misleading content. However, existing fake news detection …