Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview

IH Sarker - Security and Privacy, 2023 - Wiley Online Library
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …

Comprehensive review of cybercrime detection techniques

WA Al-Khater, S Al-Maadeed, AA Ahmed… - IEEE …, 2020 - ieeexplore.ieee.org
Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …

[HTML][HTML] Cyberbullying research—Alignment to sustainable development and impact of COVID-19: Bibliometrics and science map** analysis

K Achuthan, VK Nair, R Kowalski… - Computers in Human …, 2023 - Elsevier
The explosive growth and online media usage have transformed the communication
landscape globally. Social media platforms have become a thriving ground for online …

A comparative analysis of machine learning techniques for cyberbullying detection on twitter

A Muneer, SM Fati - Future Internet, 2020 - mdpi.com
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …

ETHOS: a multi-label hate speech detection dataset

I Mollas, Z Chrysopoulou, S Karlos… - Complex & Intelligent …, 2022 - Springer
Online hate speech is a recent problem in our society that is rising at a steady pace by
leveraging the vulnerabilities of the corresponding regimes that characterise most social …

The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions

C Carrasco-Farré - Humanities and Social Sciences Communications, 2022 - nature.com
Not all misinformation is created equal. It can adopt many different forms like conspiracy
theories, fake news, junk science, or rumors among others. However, most of the existing …

Misogyny detection in twitter: a multilingual and cross-domain study

EW Pamungkas, V Basile, V Patti - Information processing & management, 2020 - Elsevier
The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …

[KNIHA][B] Cultivating critical language awareness in the writing classroom

S Shapiro - 2022 - taylorfrancis.com
This book introduces Critical Language Awareness (CLA) Pedagogy as a robust and
research-grounded framework to engage and support students in critical examinations of …

I feel offended, don't be abusive! implicit/explicit messages in offensive and abusive language

T Caselli, V Basile, J Mitrović, I Kartoziya… - Proceedings of the …, 2020 - aclanthology.org
Abusive language detection is an unsolved and challenging problem for the NLP
community. Recent literature suggests various approaches to distinguish between different …

[HTML][HTML] Data expansion using back translation and paraphrasing for hate speech detection

DR Beddiar, MS Jahan, M Oussalah - Online Social Networks and Media, 2021 - Elsevier
With proliferation of user generated contents in social media platforms, establishing
mechanisms to automatically identify toxic and abusive content becomes a prime concern …