This paper presents a comprehensive framework for expert-augmented supervised feature
selection, addressing pre-processing, in-processing, and post-processing aspects of …

The rise of fake news has made the need for effective detection methods, including in
languages other than English, increasingly important. The study aims to address the …

With the rapid development of the Internet and social media, false information, rumors, and
misleading content have become pervasive, posing significant threats to public opinion and …

People connect with a plethora of information from many online portals due to the availability
and ease of access to the internet and electronic communication devices. However, news …

Online services are only getting better and faster at distributing information, causing their
users to consume said information as presented. This reduction of society's media literacy …

The rapid development of digital stages has greatly compounded the dispersal of untrue
data, dissolving certainty and judgment in society, especially among the Bengalispeaking …

Fake news is widely disseminated and constitutes an imminent danger to society since it
may shift public opinion, affect elections, and stir up social unrest. For an informed and …

The detection of fake news has become crucial with the popularity of social media as a
primary medium of news consumption. However, real-world fake news datasets often suffer …