Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Azumah, Sylvia Worlali, Elsayed, Nelly, ElSayed, Zag, Ozer, Murat, La Guardia, Amanda
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cyberbullying in Text Content Detection: An Analytical Review
by: Azumah, Sylvia W, et al.
Published: (2023)

CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation
by: Elsayed, Nelly, et al.
Published: (2024)

A Comprehensive Analytical Review on Cybercrime in West Africa
by: Adewopo, Victor, et al.
Published: (2024)

Not as Simple as It Looked: Are We Concluding for Biased Arrest Practices?
by: Ozer, Murat, et al.
Published: (2024)

Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
by: Elsayed, Nelly, et al.
Published: (2025)

Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector
by: Gyamfi, Emmanuel Kojo, et al.
Published: (2024)

Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics
by: ElSayed, Zag, et al.
Published: (2025)

TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
by: Elsayed, Nelly, et al.
Published: (2024)

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging
by: Hoover, Robby, et al.
Published: (2025)

Detecting Fileless Cryptojacking in PowerShell Using AST-Enhanced CodeBERT Models
by: Varlioglu, Said, et al.
Published: (2026)

CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
by: ElSayed, Zag, et al.
Published: (2025)

The Pulse of Fileless Cryptojacking Attacks: Malicious PowerShell Scripts
by: Varlioglu, Said, et al.
Published: (2024)

A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation
by: ElSayed, Zag, et al.
Published: (2024)

Cybersecurity and Frequent Cyber Attacks on IoT Devices in Healthcare: Issues and Solutions
by: ElSayed, Zag, et al.
Published: (2025)

Context-Aware Phishing Email Detection Using Machine Learning and NLP
by: Chakravorty, Amitabh, et al.
Published: (2026)

Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
by: Adewopo, Victor, et al.
Published: (2024)

Cyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms
by: Philipo, Adamu Gaston, et al.
Published: (2024)

Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models?
by: Singh, Daman Deep, et al.
Published: (2025)

GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
by: Jin, Yiping, et al.
Published: (2024)

Integrating Graph Theoretical Approaches in Cybersecurity Education CSCI-RTED
by: Kucukkaya, Goksel, et al.
Published: (2025)

Towards Fairness Assessment of Dutch Hate Speech Detection
by: Bauer, Julie, et al.
Published: (2025)

Few-shot Hate Speech Detection Based on the MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2025)

Cyber Value At Risk Model for IoT Ecosystems
by: Kucukkaya, Goksel, et al.
Published: (2025)

SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
by: Nandi, Palash, et al.
Published: (2024)

Mapping Trafficking Networks: A Data-Driven Approach to Disrupt Human Trafficking Post Russia-Ukraine Conflict
by: Ozer, Murat, et al.
Published: (2025)

The Enforcement and Feasibility of Hate Speech Moderation on Twitter
by: Tonneau, Manuel, et al.
Published: (2026)

Algorithmic Fairness in NLP: Persona-Infused LLMs for Human-Centric Hate Speech Detection
by: Gajewska, Ewelina, et al.
Published: (2025)

Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection
by: Ahmed, Ahmed Haj, et al.
Published: (2024)

Subjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection
by: Curry, Amanda Cercas, et al.
Published: (2024)

Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying
by: Biswas, Rohan, et al.
Published: (2024)

A Civics-oriented Approach to Understanding Intersectionally Marginalized Users' Experience with Hate Speech Online
by: Sultana, Achhiya, et al.
Published: (2024)

Beyond Hate: Differentiating Uncivil and Intolerant Speech in Multimodal Content Moderation
by: Herrmann, Nils A., et al.
Published: (2026)

Identifying Cyberbullying Roles in Social Media
by: Sandoval, Manuel, et al.
Published: (2024)

MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare
by: ElSayed, Zag, et al.
Published: (2025)

Sentiment Analysis of Cyberbullying Data in Social Media
by: Susmitha, Arvapalli Sai, et al.
Published: (2024)

Analyzing User Characteristics of Hate Speech Spreaders on Social Media
by: Geissler, Dominique, et al.
Published: (2023)

Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Evaluating Transferable Emotion Expressions for Zoomorphic Social Robots using VR Prototyping
by: Macdonald, Shaun, et al.
Published: (2024)

Towards Weakly-Supervised Hate Speech Classification Across Datasets
by: Jin, Yiping, et al.
Published: (2023)

AI Enabled User-Specific Cyberbullying Severity Detection with Explainability
by: Prama, Tabia Tanzin, et al.
Published: (2025)