Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

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 …

Fake news is frequently disseminated through social media, which significantly impacts
public perception and individual decision-making. Accurate identification of fake news on …

With the expansion of the Internet and attractive social media infrastructures, people prefer
to follow the news through these media. Despite the many advantages of these media in the …

The purpose of this research was to analyze the prevalence of fake news on social
networks, and implicitly, the economic crisis generated by the COVID-19 pandemic, as well …

The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …

With the rise in popularity of social media platforms and online forums, they have become a
global source of news. Fake News (FNs) spreading through numerous institutions and …

Social media network is one of the important parts of human life based on the recent
technologies and developments in terms of computer science area. This environment has …

This article proposes a SaTya scheme that leverages a blockchain (BC)-based deep
learning (DL)-assisted classifier model that forms a trusted chronology in fake news …

Suicide is a major public-health problem that exists in virtually every part of the world.
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …