Automatic cyberbullying detection: A systematic review

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Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

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Multilingual Offensive Language Identification with Cross-lingual Embeddings

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Accurate Cyberbullying Detection and Prevention on Social Media

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SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection

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Cyberbullying: Concepts, theories, and correlates informing evidence-based best practices for prevention

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Cyberbullying detection: Utilizing social media features

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Cyberbullying severity detection: A machine learning approach

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A Review on Deep-Learning-Based Cyberbullying Detection

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Early detection of cyberbullying on social media networks

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A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media

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A Bi-GRU with attention and CapsNet hybrid model for cyberbullying detection on social media

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Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go

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A Human-Centered Systematic Literature Review of Cyberbullying Detection Algorithms

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A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes

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Arabic Offensive and Hate Speech Detection Using a Cross-Corpora Multi-Task Learning Model

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Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches

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Multilingual Offensive Language Identification for Low-resource Languages

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When the Timeline Meets the Pipeline: A Survey on Automated Cyberbullying Detection

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Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

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Detecting and Understanding Harmful Memes: A Survey

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Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data

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Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish

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Cyberbullying Detection on Twitter Using Deep Learning-Based Attention Mechanisms and Continuous Bag of Words Feature Extraction

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Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

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Session-based cyberbullying detection in social media: A survey

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Cyberbullying Identification System Based Deep Learning Algorithms

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Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm

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The effect of rebalancing techniques on the classification performance in cyberbullying datasets

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Using Twitter to track immigration sentiment during early stages of the COVID-19 pandemic

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Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier

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FairPlay: Detecting and Deterring Online Customer Misbehavior

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Adolescent Deviance and Cyber-Deviance. A Systematic Literature Review

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Cyberbullying Detection Based on Emotion

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Identification of key cyberbullies: A text mining and social network analysis approach

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Predicting cyber offenders and victims and their offense and damage time from routine chat times and online social network activities

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Harmful Design in the Metaverse and How to Mitigate it: A Case Study of User-Generated Virtual Worlds on Roblox

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Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19

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Understanding the Digital Lives of Youth: Analyzing Media Shared within Safe Versus Unsafe Private Conversations on Instagram

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Improving classifier training efficiency for automatic cyberbullying detection with Feature Density

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Effectiveness of Artificial Intelligence–Based Cyberbullying Interventions From Youth Perspective

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Challenges of Moderating Social Virtual Reality

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MUDES: Multilingual Detection of Offensive Spans

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Cyberbullying detection system on social media using supervised machine learning

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Systematic literature reviews in cyberbullying/cyber harassment: A tertiary study

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Arabic Toxic Tweet Classification: Leveraging the AraBERT Model

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Multi-Class Imbalance in Text Classification: A Feature Engineering Approach to Detect Cyberbullying in Twitter

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Artificial Intelligence-Enabled Cyberbullying-Free Online Social Networks in Smart Cities

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Classification of Cyber-Aggression Cases Applying Machine Learning

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An Evaluation of Multilingual Offensive Language Identification Methods for the Languages of India

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Overview of the HASOC Subtrack at FIRE 2022: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages

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The Use of a Large Language Model for Cyberbullying Detection

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Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification

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Cyberbullying Detection With Fairness Constraints

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Cyberbullying Detection Using Deep Learning and Word Embeddings

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Detection of Cyberbullying Patterns in Low Resource Colloquial Roman Urdu Microtext using Natural Language Processing, Machine Learning, and Ensemble Techniques

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Building towards Automated Cyberbullying Detection: A Comparative Analysis

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A Multitask Multimodal Framework for Sentiment and Emotion-Aided Cyberbullying Detection

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A review of multimodal-based emotion recognition techniques for cyberbullying detection in online social media platforms

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Cyberbullying Detection across Social Media Platforms via Platform-Aware Adversarial Encoding

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Accelerating automatic hate speech detection using parallelized ensemble learning models

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Big Buddy: Exploring Child Reactions and Parental Perceptions towards a Simulated Embodied Moderating System for Social Virtual Reality

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The design, construction and evaluation of annotated Arabic cyberbullying corpus

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Development of computational linguistic resources for automated detection of textual cyberbullying threats in Roman Urdu language

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Integrating GIN-based multimodal feature transformation and multi-feature combination voting for irony-aware cyberbullying detection

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The language and targets of online trolling: A psycholinguistic approach for social cybersecurity

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A comprehensive review of cyberbullying-related content classification in online social media

Teng, T. H., Varathan, K. D., & Crestani, F. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122644 · Cited by 29

A critical review of the Online Safety Bill

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Enhancing cyberbullying detection: a comparative study of ensemble CNN–SVM and BERT models

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Cyberbullying detection and machine learning: a systematic literature review

Balakrisnan, V., & Kaity, M. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10553-w · Cited by 23

Hate Speech Detection Research in South Asian Languages: A Survey of Tasks, Datasets and Methods

Sharma, D., Nath, T., Gupta, V., & Singh, V. K. (2025) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3711710 · Cited by 23

To Be Ethical and Responsible Digital Citizens or Not: A Linguistic Analysis of Cyberbullying on Social Media

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Online offensive behaviour in socialmedia: Detection approaches, comprehensive review and future directions

Chinivar, S., Roopa, M. S., Arunalatha, J. S., & Venugopal, K. R. (2022) · Entertainment Computing · doi:10.1016/j.entcom.2022.100544 · Cited by 25

Bias and Cyberbullying Detection and Data Generation Using Transformer Artificial Intelligence Models and Top Large Language Models

Kumar, Y., Huang, K., Perez, A., Yang, G., Li, J. J., Morreale, P. A., Kruger, D., & Jiang, R. (2024) · Electronics · doi:10.3390/electronics13173431 · Cited by 30

You Don't Know How I Feel: Insider-Outsider Perspective Gaps in Cyberbullying Risk Detection

Kim, S.-H., Razi, A., Stringhini, G., Wiśniewski, P., & Choudhury, M. D. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v15i1.18061 · Cited by 24

Prosociality in Cyberspace: Developing Emotion and Behavioral Regulation to Decrease Aggressive Communication

Simão, A. M. V., Ferreira, P. C., Pereira, N., Oliveira, S., Paulino, P., Rosa, H., Ribeiro, R., Coheur, L., Carvalho, J. P., & Trancoso, I. M. (2021) · Cognitive Computation · doi:10.1007/s12559-021-09852-7 · Cited by 26

The language of bullying: Social issues on Chinese websites

Li, W. (2020) · Aggression and Violent Behavior · doi:10.1016/j.avb.2020.101453 · Cited by 21

The Invisible Aggressive Fist: Features of Cyberbullying Language in China

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Contextual-Lexicon Approach for Abusive Language Detection

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Types of Cyberbullying

Scheithauer, H., Schultze‐Krumbholz, A., Pfetsch, J. S., & Hess, M. (2021) · doi:10.1002/9781118482650.ch7 · Cited by 21

Identifying Unintended Harms of Cybersecurity Countermeasures

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Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data

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SOLD: Sinhala offensive language dataset

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Deep Learning for Multi-Labeled Cyberbully Detection: Enhancing Online Safety

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Multilingual Detection of Cyberbullying in Mixed Urdu, Roman Urdu, and English Social Media Conversations

Razi, F. D., & Ejaz, N. (2024) · IEEE Access · doi:10.1109/access.2024.3432908 · Cited by 22

Identification and Classification of Cybercrimes using Text Mining Technique

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Cyberbullying detection in social media using natural language processing

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Multimodal Cyberbullying Detection using Hybrid Deep Learning Algorithms

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A novel tree pattern-based violence detection model using audio signals

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Curating Cyberbullying Datasets: a Human-AI Collaborative Approach

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Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations

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Cyberbullying Detection Through Machine Learning: Can Technology Help to Prevent Internet Bullying?

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