Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …

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 …

We present a simple NLP methodology for detecting COVID-19 misinformation videos on
YouTube by leveraging user comments. We use transfer learning pre-trained models to …

Misinformation has developed into a critical societal threat that can lead to disastrous
societal consequences. Although fact-checking plays a key role in combating …

It is completely amazing! Fake news and click-baits have totally invaded the cyber space. Let
us face it: everybody hates them for three simple reasons. Reason# 2 will absolutely amaze …

In recent times, large language models (LLMs) have shown impressive performance on
various document-level tasks such as document classification, summarization, and question …

Understanding contrastive opinions is a key component of argument generation. Central to
an argument is the claim, a statement that is in dispute. Generating a counter-argument then …

We introduce the notion of “seminar users”, who are social media users engaged in
propaganda in support of a political entity. We develop a framework that can identify such …

This paper tackles automatic detection of contradictions in Spanish within the news domain.
Two pieces of information are classified as compatible, contradictory, or unrelated …

This paper outlines the development of Fake News and seeks to clarify different
perspectives regarding the term within Social Media communication. Current information …