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 …

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

This paper describes the University of Sheffield's submission to the SemEval 2016 Twitter
Stance Detection weakly supervised task (SemEval 2016 Task 6, Subtask B). In stance …

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

Natural language inference (NLI), also known as textual entailment recognition (TER), is a
crucial task in natural language processing that combines many fundamental aspects of …

Natural Language Inference (NLI) is a hot topic research in natural language processing,
contradiction detection between sentences is a special case of NLI. This is considered a …

The utilization of social media material in journalistic workflows is increasing, demanding
automated methods for the identification of mis-and disinformation. Since textual …

While Wikipedia has been utilized for fact-checking and claim verification to debunk
misinformation and disinformation, it is essential to either improve article quality and rule out …

Rumors can widely and rapidly diffuse in social networks than in offline platforms. This work
was an attempt to address this challenge by introducing an approach for rumors detection …

The past decade has seen a substantial rise in the amount of mis-and disinformation online,
from targeted disinformation campaigns to influence politics, to the unintentional spreading …