The proliferation of fake news on social media platforms poses significant challenges to
society and individuals, leading to negative impacts. As the tactics employed by purveyors of …

The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …

Efforts have been dedicated by researchers in the field of natural language processing
(NLP) to detecting and combating fake news using an assortment of machine learning (ML) …

Social media is widely used to spread fake news, which affects a larger population. So it is
considered as a very important task to detect fake news spread on social media platforms …

The prevalence of fake news on social media has led to major sociopolitical issues. Thus,
the need for automated fake news detection is more important than ever. In this work, we …

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 …

Social media sites are now quite popular among internet users for sharing news and
opinions. This has become possible due to the inexpensive Internet, easy availability of …

Fake News creates erroneous suspense information that can be identified. This spreads
dishonesty about a country's status or overstates the expense of special functions for a …

The proliferation of fake news in the digital age has spurred extensive research efforts
toward developing effective detection techniques. This abstract delves into recent trends and …

Nowadays, we witness rapid technological advancements in online communication
platforms, with increasing volumes of people using a vast range of communication solutions …