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 …

The objectives of the study were to identify the relationship between big data analytics with
context-based news detection on digital media in the data age, to find out the trending …

With the advancement of technology, social media has become a major source of digital
news due to its global exposure. This has led to an increase in spreading fake news and …

In the present era, social media platforms such as Facebook, WhatsApp, Twitter, and
Telegram are significant sources of information distribution, and people believe it without …

This study focuses on investigating the performance of different machine learning algorithms
and corresponding comparative analysis in predicting cardiovascular disease. Globally this …

The research developed an improved intelligent enhancement learning algorithm based on
AdaBoost, that can be applied for lung cancer breath detection by the electronic nose …

Fake news has been a problem ever since the internet boomed. The very network that
allows us to know what is happening globally is the perfect breeding ground for malicious …

Fake news and manipulated information affect the social, economic and emotional growth of
the world's population. For the identification of fake news, several classification systems are …

Large Language Models (LLMs) have shown impressive performance across a variety of
Artificial Intelligence (AI) and natural language processing tasks, such as content creation …

The exponential growth in fake news and its inherent threat to democracy, public trust, and
justice has escalated the necessity for fake news detection and mitigation. Detecting fake …