[PDF][PDF] Hate speech detection in social networks using machine learning and deep learning methods

A Toktarova, D Syrlybay… - … Journal of Advanced …, 2023 - researchgate.net
Hate speech on social media platforms like Twitter is a growing concern that poses
challenges to maintaining a healthy online environment and fostering constructive …

[PDF][PDF] Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning.

D Sultan, A Toktarova, A Zhumadillayeva… - … , Materials & Continua, 2023 - academia.edu
Communication in society had developed within cultural and geographical boundaries prior
to the invention of digital technology. The latest advancements in communication technology …

Child safety and protection in the online gaming ecosystem

A Faraz, J Mounsef, A Raza, S Willis - Ieee Access, 2022 - ieeexplore.ieee.org
Online gaming no longer has limited access, as it has become available to a high
percentage of children in recent years. Consequently, children are exposed to multifaceted …

Enhancing Child Safety in Online Gaming: The Development and Application of Protectbot, an AI-Powered Chatbot Framework

A Faraz, F Ahsan, J Mounsef, I Karamitsos, A Kanavos - Information, 2024 - mdpi.com
This study introduces Protectbot, an innovative chatbot framework designed to improve
safety in children's online gaming environments. At its core, Protectbot incorporates …

FACapsnet: A fusion capsule network with congruent attention for cyberbullying detection

F Wu, B Gao, X Pan, Z Su, Y Ji, S Liu, Z Liu - Neurocomputing, 2023 - Elsevier
As an extension of bullying on social networks, cyberbullying has seriously affected the
security of the online social environment and infringed on mental health. Taking appropriate …

Evaluating Language Models on Grooming Risk Estimation Using Fuzzy Theory

G Bihani, T Ringenberg, J Rayz - arxiv preprint arxiv:2502.12563, 2025 - arxiv.org
Encoding implicit language presents a challenge for language models, especially in high-
risk domains where maintaining high precision is important. Automated detection of online …

[HTML][HTML] Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach

A Cuzzocrea, MS Akter, H Shahriar, P Garcia Bringas - Future Internet, 2025 - mdpi.com
The plague of cyberbullying on social media exerts a dangerous influence on human lives.
Due to the fact that online social networks continue to daily expand, the proliferation of hate …

Online Sexual Grooming of Children: Psychological and Legal Perspectives for Prevention and Risk Management

AI Sani, M Vara, MAP Dinis - Modern Insights and Strategies in …, 2024 - igi-global.com
The internet has become a prevalent tool for offenders engaging in the sexual grooming of
children, posing a serious threat to fundamental rights and unsettling societies. Challenges …

A Quantitative Analysis of Inappropriate Content, Age Rating Compliance, and Risks to Youth on the Whisper Platform

JY Chou, B Levine - Proceedings of the 19th International Conference on …, 2024 - dl.acm.org
We perform an in-depth, quantitative examination of a prominent app by studying the content
it sends to users, including minors. Whisper is a popular app that encourages interactions …

Effectiveness of Machine Learning Methods in Detecting Grooming: A Systematic Meta-Analytic Review

M Leiva-Bianchi, N Castillo, CA Astudillo… - 2024 - researchsquare.com
This study presents a systematic review (SR) and meta-analysis (MA) on the use of machine
learning (ML) methods for detecting online grooming, a process of manipulation and sexual …