Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study

G Fenza, V Loia, C Stanzione, M Di Gisi - Neurocomputing, 2024 - Elsevier
Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …

Understanding the Evolution of Abusive Behaviour in Online Social Networks

OB Gashroo, M Mehrotra - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive investigation into the intricate dynamics of abusive
behaviour in online social networks, utilizing cutting-edge methodologies at the intersection …

A Practical Approach to Detect Hateful and Nonhateful Language

D Sameera, A Greeshma… - 2024 10th …, 2024 - ieeexplore.ieee.org
Hate speech is a big problem in today's online world due to the rise of social media and
internet communities. Researchers are coming up with novel approaches to recognize and …

Automatic Hate Speech Detection using Ensemble Method and Natural Language Processing Techniques

NV Sahana, R Prerana, S Niharika… - 2023 International …, 2023 - ieeexplore.ieee.org
The use of social media has exploded in recent years, and sharing information has
numerous benefits for society. Hateful content has increased as a result of the increased …