Misinformation is a pervasive problem on social media platforms, with the potential to cause
harm to individuals and society as a whole. Many computational techniques have been …

The current approaches for fake news detection are mainly devoted to extracting candidate
evidence from comments (or external articles) and establishing interactive reasoning with …

News recommendation is a valuable technology that helps users effectively and efficiently
find news articles that interest them. However, most of existing approaches for news …

With virtual social networks (VSNs) ever more popular as a means of disseminating fake
news, methods for automatically detecting this type of content have become increasingly …

The creation and propagation of disinformation on social media is a growing concern. The
widespread dissemination of disinformation can have destructive effects on people's …

Fake news detection aims to automatically identify the credibility of source posts, mitigating
potential societal harm and conserving human resources. Textual fake news detection …

This study presents a novel approach for detecting counterfeit news, employing an
advanced hybrid model that integrates Enhanced Gated Recurrent Unit and Long Short …

Анотація Міщенко ЛД Метод розпізнавання фейкових новин у мережі інтернет на
основі обробки природної мови.–Кваліфікаційна наукова праця на правах рукопису …

Graphs are pervasive in both the natural world and various domains of science and
engineering. Numerous advanced classifiers, such as Graph Neural Networks (GNNs), have …

Due to the widespread growth of social and traditional media in the last decade has led to
the huge spread of information. Nowadays these platforms are playing a vital role in …