In recent years, the disinformation phenomenon, brought about by the ease with which fake
news and hoaxes spread on social networks, has grown considerably. Twitter, especially, is …

The widespread use of social media has created a wealth of Arabic textual data, presenting
challenges for NLP researchers due to the complexity and characteristics of the Arabic …

The target task of our team in CLEF2022 CheckThat! Lab challenge is Task-1C, harmful
tweet detection. We propose a novel approach, called ARC-NLP-contra, which is a …

The widespread use of social media has rendered it a critical arena for online marketing
strategies. To optimize conversion rates, the landing pages must effectively respond to a …

Social Networks represent one of the most important online sources to share content across
a world-scale audience. In this context, predicting whether a post will have any impact in …

For a state or non-state actor whose credibility is bankrupt, relying on bots to conduct non-
attributable, non-accountable, and influence/information operations (info ops) that are …

The potential of text analytics is revealed by Machine Learning (ML) and Natural Language
Processing (NLP) techniques. In this paper, we propose an NLP framework that is applied to …

In this article, we propose a framework that uses a multimodal multilayer network to build,
manage and compare User Histories in X. A User History not only considers the contents of …

Purpose Despite the ever-increasing importance of cultivating information, communication
and technology literacy skills among college students, they have yet to be related to …

Neurofeedback is a popular technique to induce neuroplasticity with a controversial
reputation. The public discourse on neurofeedback, as a therapeutic and …