CyberBERT: BERT for cyberbullying identification

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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SMOTE synthetic minority over-sampling technique

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BioBERT: a pre-trained biomedical language representation model for biomedical text mining

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Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

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Cyberbullying: Its nature and impact in secondary school pupils

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Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter

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Scientific method: Statistical errors

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Deep Learning for Hate Speech Detection in Tweets

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Hate Speech Detection with Comment Embeddings

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Ex Machina: Personal Attacks Seen at Scale

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Open-world Machine Learning: Applications, Challenges, and Opportunities

Parmar, J., Chouhan, S. S., Raychoudhury, V., & Rathore, S. S. (2022) · ACM Computing Surveys · doi:10.1145/3561381 · Cited by 163

DEA-RNN: A hybrid deep learning approach for cyberbullying detection in Twitter social media platform

Murshed, B. A. H., Abawajy, J., Mallappa, S., Saif, M. A. N., & Al-Ariki, H. D. E. (2022) · IEEE Access · doi:10.1109/access.2022.3153675 · Cited by 137

A Review on Deep-Learning-Based Cyberbullying Detection

Hasan, M. T., Hossain, M. A. E., Mukta, M. S. H., Akter, A., Ahmed, M., & Islam, S. (2023) · Future Internet · doi:10.3390/fi15050179 · Cited by 103

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

Kumar, A., & Sachdeva, N. (2022) · World Wide Web · doi:10.1007/s11280-021-00920-4 · Cited by 87

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

Teng, T. H., & Varathan, K. D. (2023) · IEEE Access · doi:10.1109/access.2023.3275130 · Cited by 77

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

Elsafoury, F., Katsigiannis, S., Pervez, Z., & Ramzan, N. (2021) · IEEE Access · doi:10.1109/access.2021.3098979 · Cited by 85

An ensemble of pre-trained transformer models for imbalanced multiclass malware classification

Demirkıran, F., Çayır, A., Ünal, U., & Dağ, H. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102846 · Cited by 86

Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish

Maity, K., Saha, S., & Bhattacharyya, P. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3183046 · Cited by 63

Session-based cyberbullying detection in social media: A survey

Yi, P., & Zubiaga, A. (2023) · Online Social Networks and Media · doi:10.1016/j.osnem.2023.100250 · Cited by 55

EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media

Mahajan, E., Mahajan, H., & Kumar, S. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121228 · Cited by 59

A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges

Arif, M. (2021) · Journal of Information Security and Cybercrimes Research · doi:10.26735/gbtv9013 · Cited by 46

A Deep Learning Framework for the Detection of Malay Hate Speech

Maity, K., Bhattacharya, S., Saha, S., & Seera, M. (2023) · IEEE Access · doi:10.1109/access.2023.3298808 · Cited by 44

FAEO-ECNN: cyberbullying detection in social media platforms using topic modelling and deep learning

Murshed, B. A. H., Suresha, Abawajy, J., Saif, M. A. N., Abdulwahab, H. M., & Ghanem, F. A. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15372-3 · Cited by 39

The Use of a Large Language Model for Cyberbullying Detection

Ogunleye, B., & Dharmaraj, B. (2023) · Analytics · doi:10.3390/analytics2030038 · Cited by 37

Safeguarding Online Spaces: A Powerful Fusion of Federated Learning, Word Embeddings, and Emotional Features for Cyberbullying Detection

Samee, N. M. A., Khan, U., Khan, S., Jamjoom, M. M., Sharif, M. I., & Kim, D. H. (2023) · IEEE Access · doi:10.1109/access.2023.3329347 · Cited by 34

Exploring the ability of emerging large language models to detect cyberbullying in social posts through new prompt-based classification approaches

Cirillo, S., Desiato, D., Polese, G., Solimando, G., Sugumaran, V., & Sundaramurthy, S. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.104043 · Cited by 40

Chinese Cyberbullying Detection Using XLNet and Deep Bi-LSTM Hybrid Model

Chen, S., Wang, J., & He, K. (2024) · Information · doi:10.3390/info15020093 · Cited by 35

Improving automatic cyberbullying detection in social network environments by fine-tuning a pre-trained sentence transformer language model

Gutiérrez‐Batista, K., Gómez-Sánchez, J., & Fernandez‐Basso, C. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01291-0 · Cited by 38

Fraud-BERT: transformer based context aware online recruitment fraud detection

Taneja, K. K., Vashishtha, J., & Ratnoo, S. (2025) · Discover Computing · doi:10.1007/s10791-025-09502-8 · Cited by 34

Text embedding techniques for efficient clustering of twitter data

Ravi, J., & Kulkarni, S. S. (2023) · Evolutionary Intelligence · doi:10.1007/s12065-023-00825-3 · Cited by 27

Multi-modal cyber-aggression detection with feature optimization by firefly algorithm

Kumari, K., & Singh, J. P. (2021) · Multimedia Systems · doi:10.1007/s00530-021-00785-7 · Cited by 26

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

Deep Learning-based Natural Language Processing Methods Comparison for Presumptive Detection of Cyberbullying in Social Networks

Andrade-Segarra, D. A., & León-Paredes, G. A. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120592 · Cited by 26

MTBullyGNN: A Graph Neural Network-Based Multitask Framework for Cyberbullying Detection

Maity, K., Sen, T., Saha, S., & Bhattacharyya, P. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3230974 · Cited by 27

Robust multi-domain descriptive text classification leveraging conventional and hybrid deep learning models

Bhowmik, S., Sultana, S., Sajid, A., Reno, S., & Manjrekar, A. (2023) · International Journal of Information Technology · doi:10.1007/s41870-023-01559-2 · Cited by 22

Network intrusion detection system by learning jointly from tabular and text‐based features

Düzgün, B., Çayır, A., Ünal, U., & Dağ, H. (2023) · Expert Systems · doi:10.1111/exsy.13518 · Cited by 25

HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language

Maity, K., Poornash, A. S., Bhattacharya, S., Phosit, S., Kongsamlit, S., Saha, S., & Pasupa, K. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3376958 · Cited by 22

Does BERT Pay Attention to Cyberbullying?

Elsafoury, F., Katsigiannis, S., Wilson, S. R., & Ramzan, N. (2021) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3404835.3463029 · Cited by 17

Detecting Kids Cyberbullying Using Transfer Learning Approach: Transformer Fine-Tuning Models

Yafooz, W. M. S., Al-Dhaqm, A., & Alsaeedi, A. (2023) · Studies in Computational Intelligence · doi:10.1007/978-3-031-21199-7_18 · Cited by 17

An efficient automated multi-modal cyberbullying detection using decision fusion classifier on social media platforms

Singh, N. M., & Sharma, S. K. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16402-w · Cited by 20

A review on abusive content automatic detection: approaches, challenges and opportunities

Alrashidi, B., Jamal, A. T., Khan, I., & Alkhathlan, A. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.1142 · Cited by 20

Detection and Cross-domain Evaluation of Cyberbullying in Facebook Activity Contents for Turkish

Çoban, Ö., Özel, S. A., & İnan, A. (2023) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3580393 · Cited by 19

English synchronous real-time translation method based on reinforcement learning

Ke, X. (2022) · Wireless Networks · doi:10.1007/s11276-022-02910-4 · Cited by 15

Comparative analysis on deep neural network models for detection of cyberbullying on Social Media

Balakrishna, S., Gopi, Y., & Solanki, V. K. (2022) · Ingenieria Solidaria · doi:10.16925/2357-6014.2022.01.05 · Cited by 15

Fine-Tuning IndoBERT for Indonesian Exam Question Classification Based on Bloom's Taxonomy

Baharuddin, F., & Naufal, M. F. (2023) · Journal of Information Systems Engineering and Business Intelligence · doi:10.20473/jisebi.9.2.253-263 · Cited by 33

Improving cyberbullying detection through multi-level machine learning

Salsabila, S., Sarno, R., Ghozali, I., & Sungkono, K. R. (2024) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v14i2.pp1779-1787 · Cited by 15

Explainable Cyberbullying Detection in Hinglish: A Generative Approach

Maity, K., Jain, R., Jha, P., & Saha, S. (2023) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2023.3333675 · Cited by 15

Semi-meta-supervised hate speech detection

Putra, C. D., & Wang, H. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111386 · Cited by 15

Deep Learning-Based Cyberbullying Detection in Kurdish Language

Badawi, S. S. (2024) · The Computer Journal · doi:10.1093/comjnl/bxae024 · Cited by 11

Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework

Al‐Wesabi, F. N., Obayya, M. I., Alsamrib, J., Alabdan, R., Aljehane, N. O., Alazwari, S., Alruwaili, F. F., Hamza, M. A., & Swathi, A. (2024) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2024.3409939 · Cited by 9

Towards a cyberbullying detection approach: fine-tuned contrastive self-supervised learning for data augmentation

Al-Harigy, L. M., Al-Nuaim, H. A., Moradpoor, N., & Tan, Z. (2024) · International Journal of Data Science and Analytics · doi:10.1007/s41060-024-00607-9 · Cited by 10

Domain-Specific Language Model Pre-Training for Korean Tax Law Classification

Gu, Y. H., Piao, X., Yin, H., Dong, J., Zheng, R., & Yoo, S. J. (2022) · IEEE Access · doi:10.1109/access.2022.3164098 · Cited by 11

Cyberbullying detection on multi-modal data using pre-trained deep learning architectures

Pericherla, S., & Ilavarasan, E. (2021) · Ingenieria Solidaria · doi:10.16925/2357-6014.2021.03.09 · Cited by 10

A Lightweight Malware Detection Model Based on Knowledge Distillation

Miao, C., Kou, L., Zhang, J., & Dong, G. (2024) · Mathematics · doi:10.3390/math12244009 · Cited by 10

Hate Speech Detection on Online News Platforms: A Deep-Learning Approach Based on Agenda-Setting Theory

Kim, S.-S., Kim, S., & Kim, H. (2025) · Journal of Management Information Systems · doi:10.1080/07421222.2025.2520173 · Cited by 11

Securebert 2.0: Advanced Language Model for Cybersecurity Intelligence

Aghaei, E., Jain, S., Arun, P., & Sambamoorthy, A. (2025) · Annual Computer Security Applications Conference Workshops (ACSAC Workshops) · doi:10.1109/acsacw69556.2025.00071 · Cited by 13

Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress

Cascalheira, C. J., Chapagain, S., Flinn, R. E., Zhao, Y., Boubrahimi, S. F., Klooster, D., González, A., Lund, E. M., Laprade, D., Scheer, J. R., et al. (2023) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata59044.2023.10386882 · Cited by 7

A Deep Learning Framework for Arabic Cyberbullying Detection in Social Networks

Tashtoush, Y. M., Banysalim, A., Maabreh, M., Al-Eidi, S., Karajeh, O., & Zahariev, P. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.062724 · Cited by 8

Generative AI approach for inventive process visualisation – enhancing human-AI hybrid understanding and comparing of patents

Trappey, A. J. C., Wu, C.-Y., Lee, Y.-C., & Hung, L. P. (2025) · Journal of Engineering Design · doi:10.1080/09544828.2025.2518657 · Cited by 7

Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability

Govea, J., Gutierrez, R., Villegas-Ch, W. E., & Navarro, A. M. (2025) · IEEE Access · doi:10.1109/access.2025.3588076 · Cited by 7

Cyberbullying Detection Using Bidirectional Encoder Representations from Transformers (BERT)

Sujud, R., Fahs, W., Khatoun, R., & Chbib, F. (2024) · IEEE International Mediterranean Conference on Communications and Networking (MeditCom) · doi:10.1109/meditcom61057.2024.10621093 · Cited by 8

Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents

Verma, K., Popović, M., Poulis, A., Cherkasova, Y., hÓbáin, C. Ó., Mazzone, A., Milošević, T., & Davis, B. (2022) · Natural Language Engineering · doi:10.1017/s1351324922000341 · Cited by 7

A Novel Hybrid Attention-Based RoBERTa-BiLSTM Model for Cyberbullying Detection

Mahdi, M. A., Fati, S. M., Ragab, M. G., Hazber, M. A. G., Ahamad, S., Saad, S. A., & Al-Shalabi, M. (2025) · Mathematical and Computational Applications · doi:10.3390/mca30040091 · Cited by 8

“Explain Thyself Bully”: Sentiment Aided Cyberbullying Detection with Explanation

Maity, K., Jha, P., Jain, R., Saha, S., & Bhattacharyya, P. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-41682-8_9 · Cited by 8

Lung disease classification using deep learning and genetic algorithm

Chutia, U., Tewari, A. S., & Singh, J. P. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-10527-1 · Cited by 6

cs@DravidianLangTech-EACL2021: Offensive Language Identification Based On Multilingual BERT Model

Chen, S., & Kong, B. (2021) · Cited by 6

Cyberbullying Detection in Code-Mixed Languages: Dataset and Techniques

Maity, K., Saha, S., & Bhattacharyya, P. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956390 · Cited by 7

Multimodal Cyberbullying Detection Using Deep Learning Techniques: A Review

Musyoka, I., Wandeto, J., & Kituku, B. (2023) · International Conference on Information and Communication Technology for Development for Africa (ICT4DA) · doi:10.1109/ict4da59526.2023.10302244 · Cited by 6

Building Prediction Model for Detecting Cyberbullying using TikTok Comments

Prameswari, B. A., Oktaviani, H. S., Wicaksono, T. R., Leonard, B. P., Achmad, S., & Sutoyo, R. (2023) · IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) · doi:10.1109/icraie59459.2023.10468424 · Cited by 5

A two-stage cyberbullying detection based on multi-view features and decision fusion strategy

Li, T., Zeng, Z., & Sun, S. (2025) · Applied Intelligence · doi:10.1007/s10489-024-06049-x · Cited by 5

Unmasking Cyberbullies on Social Media Platforms Using Machine Learning

Aaditya Anil, K., Sasikumar, K., Nambiar, R. K., Rohith, K. P., & Rajendran, V. V. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10307284 · Cited by 5

GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection

Maity, K., Jain, R., Jha, P., Saha, S., & Bhattacharyya, P. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-main.1035 · Cited by 6

Gender-based Cyberbullying Detection for Under-resourced Bangla Language

Rabib, H. K., Galib, M., Nobo, T. M., Sathi, T. A., Islam, M. S., Kamal, A. R. M., & Hossain, M. A. (2022) · International Conference on Electrical and Computer Engineering (ICECE) · doi:10.1109/icece57408.2022.10088574 · Cited by 5

Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework

García-Méndez, S., & de Arriba-Pérez, F. (2024) · International Conference on Social Networks Analysis, Management and Security (SNAMS) · doi:10.1109/snams64316.2024.10883785 · Cited by 4

Darkness can not drive out darkness: Investigating Bias in Hate SpeechDetection Models

Elsafoury, F. (2022) · Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW) · doi:10.18653/v1/2022.acl-srw.4 · Cited by 4

Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai

Maity, K., Bhattacharya, S., Phosit, S., Kongsamlit, S., Saha, S., & Pasupa, K. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43427-3_9 · Cited by 4

Multi-tier linguistic and emotional modeling for cyberbullying detection in Tamil social media

Prakash, J., V, & Vijay, S. A. A. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129270 · Cited by 3

Automate Lifelong Hate Speech Detection: Current Challenge In Cross-Domain Adaption

Putra, C. D., & Wang, H. (2023) · International Conference on Emerging Smart Computing and Informatics (ESCI) · doi:10.1109/esci56872.2023.10099738 · Cited by 3

Enhancing Cyberbullying Detection: A Comprehensive Framework Using Machine Learning, Deep Learning, and NLP Techniques

Ali, M. M. N., Islam, M. M., Chowdhury, S., & Abrar, M. S. (2025) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce64574.2025.11013819 · Cited by 3

FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language

Maity, K., Bhattacharya, S., Saha, S., Janoai, S., & Pasupa, K. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-30108-7_36 · Cited by 3

Class imbalance-sensitive approach based on PLMs for the detection of cyberbullying in English and Arabic datasets

Benaissa, A. R., Harbaoui, A., & Ghezala, H. H. B. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2313142 · Cited by 4

Teacher and Student Models of Offensive Language in Social Media

Ranasinghe, T., & Zampieri, M. (2023) · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · doi:10.18653/v1/2023.findings-acl.241 · Cited by 3

Sentiment Analysis of Imbalanced Dataset through Data Augmentation and Generative Annotation using DistilBERT and Low-Rank Fine-TuningPreprint

Nasrabadi, H. N., & Moattar, M. H. (2025) · Research Square · doi:10.21203/rs.3.rs-5879286/v1 · Cited by 3

Cyberbullying Detection Using CNN Prediction Model

Aryan, Nag, P., Trivedi, R., & Goyal, S. R. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-4892-1_9 · Cited by 2

Leveraging Transformers for Detection of Arabic Cyberbullying on Social Media: Hybrid Arabic Transformers

Alsuwaylimi, A. A., & Alenezi, Z. S. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.061674 · Cited by 3

Understanding architectural heritage: 3D-MELL framework of architectural heritage large language model based on 3D point cloud

Guo, M., Zhu, L., wang, G., Shang, X., Zhang, Y., Huang, M., Zhao, J., Dong, Y., Wang, Y., Wang, R., et al. (2025) · Journal of Cultural Heritage · doi:10.1016/j.culher.2025.12.004 · Cited by 2

Evaluating Classification Models Over IndoBERT and IndoBERTweet Embeddings for Indonesian Cyberbullying Detection

Nurrahmi, H., Wibowo, A. T., & Hasmawati (2025) · International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA) · doi:10.1109/icicyta68677.2025.11362735 · Cited by 2

Multimodal cyberbullying detection in Hinglish memes using a classroom framework based on large language models

Joshi, P. C., Mundra, S., & Mundra, A. (2026) · Discover Computing · doi:10.1007/s10791-026-09927-9 · Cited by 2

Investigando o Uso de Análise de Sentimentos para Identificar Comportamentos de Bullying em Grupo de WhatsApp Escolar

Pereira, M. R. L., Alves, L. P., & Padilha, T. C. C. (2024) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/sbie.2024.244966 · Cited by 2

A Fuzzy-Based Approach for Cyberbullying Analysis

Diaz-Garcia, J. A., Fernandez‐Basso, C., Gómez-Sánchez, J., Gutiérrez‐Batista, K., Ruiz, M. D., & Martín-Bautista, M. J. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-08974-9_25 · Cited by 2

Identification and Labeling of Textual Cyberbullying using BiLSTM and BERT

Gupta, S., Vadgama, U., & Vedhavathy, T. R. (2023) · International Conference on Networking and Communications (ICNWC) · doi:10.1109/icnwc57852.2023.10127308 · Cited by 3

Cyberbullying Detection Using BiLSTM Model

Lekshmi, M. S., Shaji, A. M., & Amrita, S. K. (2024) · Signals and communication technology · doi:10.1007/978-3-031-47942-7_29 · Cited by 2

Multiclass Cyberbullying Detection Using BERT

Pratama, M., Sarno, R., Septiyanto, A. F., Haryono, A. T., & Sabilla, S. I. (2024) · Beyond Technology Summit on Informatics International Conference (BTS-I2C) · doi:10.1109/bts-i2c63534.2024.10941912 · Cited by 1

From Users to Co-Designers: Youth Participation in Understanding Cyberbullying

Verma, K., Davis, B., Milošević, T., & Umbach, R. (2025) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3713043.3731485 · Cited by 1

A Comparative Analysis of Transformer and Traditional ML Models for Cyberbullying Detection on Twitter (now X)

Abusaqer, M., & Saquer, J. M. (2025) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac65507.2025.00216 · Cited by 1

Analyzing Adversarial Strategies and Countermeasures for Cyberbullying Detection

Juarez, M., Abdukhamidov, E., Sandoval, M., Nazari, M., Hall, D. L., Thiruvathukal, G. K., Abuhmed, T., Silva, Y. N., & Abuhamad, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-07715-8_9 · Cited by 1

FusionBullyNet: A Robust English—Arabic Cyberbullying Detection Framework Using Heterogeneous Data and Dual-Encoder Transformer Architecture with Attention Fusion

Mahdi, M. A., Arshed, M. A., & Mumtaz, S. (2026) · Mathematics · doi:10.3390/math14010170 · Cited by 1

Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection

Maity, K., Balaji, G., & Saha, S. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-8076-5_23 · Cited by 1

Cyberbullying Detection: An Investigation into Natural Language Processing and Machine Learning Techniques

Chow, D. V., Natania, F., Nathanael, O. T., Setiawan, K. E., & Hasani, M. F. (2023) · International Conference on Cybernetics and Intelligent System (ICORIS) · doi:10.1109/icoris60118.2023.10352294 · Cited by 1

Cyber-Flashing Identification Method of Analysing Human Skin on Social Media Platforms

Karpagam, M., Chen, T., & Sathiyanarayanan, M. (2024) · International Conference on Science Technology Engineering and Mathematics (ICONSTEM) · doi:10.1109/iconstem60960.2024.10568789 · Cited by 1

Analysis on Organized Cyberbullying

Wang, J. (2024) · IEEE Integrated STEM Education Conference (ISEC) · doi:10.1109/isec61299.2024.10665194 · Cited by 1

A Review of Machine Learning and AI-Based Approaches to Detecting Cyberbullying on Social Media

Harish, D., Manimaran, M., & Jayashakthi Vishnu, P. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.50438 · Cited by 1

Comparative Analysis of Various Machine Learning Algorithms to Detect Cyberbullying on Twitter Dataset

Shah, M., Vasant, A. R., & Patel, K. A. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-5166-6_52

A Contextualized Transformer-Based Method for Cyberbullying Detection

Rezvani, N., Beheshti, A., & Zhang, X. (2023) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa60987.2023.10302478

A Study on Cyberbullying Detection Techniques in Online Social Networks

Kalantri, R. A., & Rajguru, S. (2023) · International Conference on Advances in Science and Technology (ICAST) · doi:10.1109/icast59062.2023.10455074 · Cited by 1

StereoHate: Toward identifying stereotypical bias and target group in hate speech detection

Maity, K., Ghosh, N., Jain, R., Saha, S., & Bhattacharyya, P. (2024) · Natural language processing. · doi:10.1017/nlp.2024.29

Language Model-Based Approach for Multiclass Cyberbullying Detection

Kaddoura, S., & Nassar, R. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0567-5_7

Abusive Language Detection on Romanized Bengali and Bengali-English Code-Mixed Dataset by Deep Learning Models

Mandal, J., Choudhary, R. R., Meena, G., & Barman, M. (2025) · Springer tracts in human-centered computing · doi:10.1007/978-981-96-1761-6_39

Enhancing Cyberbullying Detection with RoBERTa: A Transformer-Based Approach

Azhar, M. A. H. B., & Runa, A. A. (2025) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-031-82031-1_16

A Multimodal Approach to Bangla Cyberbullying Meme Detection in Social Media

Roy, A., Murad, H., & Iktidar, A. (2024) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccit64611.2024.11021800

Cyberbullying Detection using Pre-Trained BERT Model

Yadav, J., Kumar, D., & Chauhan, D. (2020) · 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) · doi:10.1109/icesc48915.2020.9155700 · Cited by 116

A machine learning approach for cyber bullying detection using classification and function extraction strategies

Kousic, M. N. V., Bhupathi, M. P., & Jacob, M. S. (2025) · AIP conference proceedings · doi:10.1063/5.0266794 · Cited by 1

Detection of Cyberbullying Through BERT and Weighted Ensemble of ClassifiersPreprint

Graney-Ward, C., Issac, B., Ketsbaia, L., & Jacob, S. M. (2022) · doi:10.36227/techrxiv.17705009.v1 · Cited by 9

Identification and Labeling of Textual Cyberbullying using BiLSTM and BERT

Gupta, S., Vadgama, U., & Vedhavathy, T. R. (2023) · International Conference on Networking and Communications (ICNWC) · doi:10.1109/icnwc57852.2023.10127308 · Cited by 3

Multifaceted Cyberbullying Detection using Deep Learning Architectures and Semantic Embeddings in Social Media Discourse

Shanmukha Aditya, G., Aggarwal, A., Karan, S., Gupta, D., Palaniswamy, S., & Venugopalan, M. (2024) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt61001.2024.10726027 · Cited by 2