The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …

Nowadays, we witness rapid technological advancements in online communication
platforms, with increasing volumes of people using a vast range of communication solutions …

Reviews are a form of user experience information on a product or service that can be used
as a reference for potential consumers' preferences to buy, use, or consume a product. They …

The phenomenon of fake news disseminates fabricated information presented in a news-like
fashion, posing significant challenges for news agencies regarding accurate processing and …

In an era where misinformation and fake news undermine social well-being, this work
provides a complete approach to multi-domain fake news detection. Multi-domain news …

This paper presents an analysis on information disorder in social media platforms. The study
employed methods such as Natural Language Processing, Topic Modeling, and Knowledge …

With the rise of social media and online news sources, fake news has become a significant
issue globally. However, the detection of fake news in low resource languages like Bengali …

The ease of using Short Message Service (SMS) has brought the issue of SMS spam,
characterized by unsolicited and unwanted. Many studies have been conducted utilizing …

На фоне динамичного развития технологий и усложнения коммуникационных сетей
актуализируется проблема кибербезопасности, становящаяся ключевым аспектом …

Congestion is a phenomenon or traffic incident that often occurs in big cities. These
incidents certainly can be detrimental to existing road users. Therefore, it is necessary to …