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 …

Emerging of social media creates inconsistencies in online news, which causes confusion
and uncertainty for consumers while making decisions regarding purchases. On the other …

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 …

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 …

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 …

Using deep neural networks to detect fake news has gradually become an extremely
important field of research. Recent studies, which adopt fine-tuning BERT to detect fake …

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 …

The existing models for multi-modal fake news detection focus mainly on capturing common
similar semantics between different modalities to improve detection performance. However …