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[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 …
challenges to maintaining a healthy online environment and fostering constructive …
[PDF][PDF] Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning.
Communication in society had developed within cultural and geographical boundaries prior
to the invention of digital technology. The latest advancements in communication technology …
to the invention of digital technology. The latest advancements in communication technology …
Child safety and protection in the online gaming ecosystem
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 …
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
This study introduces Protectbot, an innovative chatbot framework designed to improve
safety in children's online gaming environments. At its core, Protectbot incorporates …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
learning (ML) methods for detecting online grooming, a process of manipulation and sexual …