Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …

A protuberant issue of the present time is that, organizations from different domains are
struggling to obtain effective solutions for detecting online-based fake news. It is quite …

Fake news is a topic that has been discussed for quite some time. Prior to the internet era, it
was mostly distributed through yellow journalism, with a focus on sensational news such as …

Misinformation of COVID-19 is prevalent on social media as the pandemic unfolds, and the
associated risks are extremely high. Thus, it is critical to detect and combat such …

With the emergence of foundation models (FMs) that are trained on large amounts of data at
scale and adaptable to a wide range of downstream applications, AI is experiencing a …

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 …

Background and objectives Parkinson's Disease (PD) is a devastating chronic neurological
condition. Machine learning (ML) techniques have been used in the early prediction of PD …

Fake news is inaccurate information that is intentionally disseminated for a specific purpose.
If allowed to spread, fake news can harm the political and social spheres, so several studies …

The proliferation of social networks has presented a significant challenge in combating the
pervasive issue of fake news within modern societies. Due to the large amount of …

The increasing availability of online content these days raises several questions about
effective access to information. In particular, the possibility for almost everyone to generate …