As social media and web-based forums have grown in popularity, the fast-spreading trend of
fake news has become a major threat to the government and other agencies. With the rise of …

Today, detecting fake news has become challenging as anyone can interact by freely
sending or receiving electronic information. Deep learning processes to detect multimodal …

A wide spread of false news over Online Social Network platforms (OSNs) causes numerous
negative consequences. Several researchers proposed different models using machine …

In an era inundated with vast amounts of information, the imperative for efficient news
classification is paramount. This research explores the sophisticated integration of neural …

Fake news information on the internet has recently emerged as one of the challenging
concerns that can have an impact on society and individuals. Furthermore, the propagation …

In today's interconnected digital landscape, the proliferation of fake news has become a
significant challenge, with far-reaching implications for individuals, institutions, and …

The rapid dissemination of information has been accompanied by the proliferation of fake
news, posing significant challenges in discerning authentic news from fabricated narratives …

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 …

The exponential growth of digital news sources presents a critical challenge in efficiently
processing and analyzing vast datasets to derive actionable insights. This paper introduces …

Social platforms are vital for information dissemination but also contribute to the spread of
fake news, causing confusion and misinformation. To combat this, advancements in …