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Original Article
An Intelligent and Robust Framework for Enhanced Cyberbullying Detection on Social Media with Advanced NLP and Deep Learning Techniques
S. Sanjay1
Dr. R Muthuram2
1M.E. Student, Government College of Technology, Coimbatore, Tamilnadu, India. 2Associate Professor, Government College of Technology, Coimbatore, Tamilnadu, India.
Published Online: May-June 2025
Pages: 130-139
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250603014References
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4. A. Altayeva et al. (2024), "Cyberbullying Detection on Social Networks Using a Hybrid Deep Learning Architecture Based on
Convolutional and Recurrent Models," International Journal of Advanced Computer Science and Applications, Vol. 15, No. 10.
5. K. Maity et al. (2024), "Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation," arXiv preprint arXiv:
2401.09023.
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2404.03686.
7. S. W. Azumah et al. (2024), "Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social
Networks," arXiv preprint arXiv: 2406.17793.
8. N. Ejaz et al. (2024), "A Multi-faceted Semi Synthetic Dataset for Automated Cyberbullying Detection," arXiv preprint arXiv:
2402.10231.
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Human Behavior.
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Internet Technology.
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Journal.
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with Applications.
13. S. Alawad et al. (2023), "Explainable AI for Cyberbullying Detection in Online Conversations," Journal of Applied AI.
14. R. Rajasekaran et al. (2023), "Sentiment Aware Deep Learning Model for Cyberbullying Identification," IEEE Access.
15. M. J. Kaur et al. (2023), "Cyberbullying Prevention Through AI Based Moderation Systems," ACM CHI Conference on Human Factors
in Computing Systems.
16. S. Das et al. (2023), "BERT vs. LSTM: Evaluating Deep Learning Models for Detecting Cyberbullying," arXiv preprint.
17. A. Halder et al. (2023), "Tackling Cyberbullying with Federated Learning and NLP," Springer Neural Computing and Applications.
18. P.Kulkarni et al. (2023), "Transformers for Cyberbullying Detection: A Systematic Review and Benchmarking," IEEE Transactions
on Neural Networks and Learning Systems.
19. A. Akhter et al. (2023), "A Robust Hybrid Machine Learning Model for Bengali Cyberbullying Detection in Social Media," Natural
Language Processing Journal, 4, 100027.
20. V. L. Paruchuri and P. Rajesh (2023), "CyberNet: A Hybrid Deep CNN with N gram Feature Selection for Cyberbullying Detection
in Online Social Networks," Evolutionary Intelligence, 16(6), 1935 1949.
21. H. M. Abdulwahab and F. A. Ghanem (2023), "FAEO ECNN: Cyberbullying Detection in Social Media Platforms Using Topic
Modelling and Deep Learning," Multimedia Tools and Applications, 82(30), 46611 46650.
22. T. M. Mitchell et al. (2023), "Explainable AI and Cyberbullying Detection: Making AI Decisions Transparent," Journal of Ethics in
AI Research.
23. V. Sundar et al. (2022), "Automated Cyberbullying Detection Using LSTM and GRU Networks," Journal of Artificial Intelligence
Research.
24. J. Zhu et al. (2022), "Detecting and Preventing Cyberbullying Using Social Media Text Mining and NLP," IEEE Transactions on Big
Data.
25. P. Bidwai et al. (2022), "Hate Speech and Cyberbullying Detection Using Contextual Embeddings," Proceedings of ACL (Association
for Computational Linguistics).
26. S. Sridhar et al. (2022), "Early Detection of Cyberbullying on Twitter Using NLP and BiLSTM," International Conference on Web
and Social Media (ICWSM).
27. T. Mitchell et al. (2022), "A Multimodal Approach to Cyberbullying Detection Using Text and Image Analysis," ACM Multimedia
Conference.
28. D. Mann et al. (2022), "Cross Language Cyberbullying Detection Using Transfer Learning," Springer Journal of Computational
Social Science.
29. P. K. Roy and F. U. Mali (2022), "Cyberbullying Detection Using Deep Transfer Learning," Complex and Intelligent Systems, 8(6),
5449 5467.
30. N. Lu et al. (2020), "Cyberbullying Detection in Social Media Text Based on Character Level Convolutional Neural Network with
Shortcuts," Concurrency and Computation: Practice and Experience, 32(23), e5627.
31. Dinakar, K., Reichart, R., & Lieberman, H. (2022). Modeling the detection of textual cyberbullying. Proceedings of the International
AAAI Conference on Web and Social Media, 5(1), 11–17.
32. Zhao, R., Zhou, A., & Mao, K. (2022). Automatic detection of cyberbullying on social networks based on bullying features. Proceedings
of the 17th International Conference on Distributed Computing and Networking, 1–6.
33. Rosa, H., Pereira, N., Ribeiro, R., Ferreira, P. C., Carvalho, J. P., & Oliveira, R. (2022). Automatic cyberbullying detection: A
systematic review. Computers in Human Behavior, 93, 333–345.
34. Salawu, S., He, Y., &Lumsden, J. (2022). A survey on cyberbullying detection. ACM Computing Surveys (CSUR), 53(3), 1–35.
35. Devlin, J., Chang, M. W., Lee, K., &Toutanova, K. (2022). BERT: Pre-training of Deep Bidirectional Transformers for Language
Understanding. arXiv preprint arXiv:1810.04805.
Transactions on Computational Social Systems.
2. M. Das et al. (2024), "Real Time Cyberbullying Detection Using Convolutional and Recurrent Neural Networks," Elsevier Future
Generation Computer Systems.
3. N. Willard et al. (2024), "Graph Neural Networks for Cyberbullying Detection: A Novel Approach," Elsevier Neural Networks.
4. A. Altayeva et al. (2024), "Cyberbullying Detection on Social Networks Using a Hybrid Deep Learning Architecture Based on
Convolutional and Recurrent Models," International Journal of Advanced Computer Science and Applications, Vol. 15, No. 10.
5. K. Maity et al. (2024), "Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation," arXiv preprint arXiv:
2401.09023.
6. R. Biswas et al. (2024), "Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying," arXiv preprint arXiv:
2404.03686.
7. S. W. Azumah et al. (2024), "Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social
Networks," arXiv preprint arXiv: 2406.17793.
8. N. Ejaz et al. (2024), "A Multi-faceted Semi Synthetic Dataset for Automated Cyberbullying Detection," arXiv preprint arXiv:
2402.10231.
9. M. M. Krishnan et al. (2023), "Cyberbullying Detection Using NLP and Machine Learning: A Comparative Analysis," Computers in
Human Behavior.
10. A. Gupta et al. (2023), "A Transformer Based Approach for Cyberbullying Detection in Online Platforms," ACM Transactions on
Internet Technology.
11. N. S. Shah et al. (2023), "Multilingual Cyberbullying Detection Using BERT and Deep Neural Networks," Springer AI and Society
Journal.
12. J. A. Singh et al. (2023), "An Ensemble Learning Approach for Identifying Cyberbullying in Online Text," Elsevier Expert Systems
with Applications.
13. S. Alawad et al. (2023), "Explainable AI for Cyberbullying Detection in Online Conversations," Journal of Applied AI.
14. R. Rajasekaran et al. (2023), "Sentiment Aware Deep Learning Model for Cyberbullying Identification," IEEE Access.
15. M. J. Kaur et al. (2023), "Cyberbullying Prevention Through AI Based Moderation Systems," ACM CHI Conference on Human Factors
in Computing Systems.
16. S. Das et al. (2023), "BERT vs. LSTM: Evaluating Deep Learning Models for Detecting Cyberbullying," arXiv preprint.
17. A. Halder et al. (2023), "Tackling Cyberbullying with Federated Learning and NLP," Springer Neural Computing and Applications.
18. P.Kulkarni et al. (2023), "Transformers for Cyberbullying Detection: A Systematic Review and Benchmarking," IEEE Transactions
on Neural Networks and Learning Systems.
19. A. Akhter et al. (2023), "A Robust Hybrid Machine Learning Model for Bengali Cyberbullying Detection in Social Media," Natural
Language Processing Journal, 4, 100027.
20. V. L. Paruchuri and P. Rajesh (2023), "CyberNet: A Hybrid Deep CNN with N gram Feature Selection for Cyberbullying Detection
in Online Social Networks," Evolutionary Intelligence, 16(6), 1935 1949.
21. H. M. Abdulwahab and F. A. Ghanem (2023), "FAEO ECNN: Cyberbullying Detection in Social Media Platforms Using Topic
Modelling and Deep Learning," Multimedia Tools and Applications, 82(30), 46611 46650.
22. T. M. Mitchell et al. (2023), "Explainable AI and Cyberbullying Detection: Making AI Decisions Transparent," Journal of Ethics in
AI Research.
23. V. Sundar et al. (2022), "Automated Cyberbullying Detection Using LSTM and GRU Networks," Journal of Artificial Intelligence
Research.
24. J. Zhu et al. (2022), "Detecting and Preventing Cyberbullying Using Social Media Text Mining and NLP," IEEE Transactions on Big
Data.
25. P. Bidwai et al. (2022), "Hate Speech and Cyberbullying Detection Using Contextual Embeddings," Proceedings of ACL (Association
for Computational Linguistics).
26. S. Sridhar et al. (2022), "Early Detection of Cyberbullying on Twitter Using NLP and BiLSTM," International Conference on Web
and Social Media (ICWSM).
27. T. Mitchell et al. (2022), "A Multimodal Approach to Cyberbullying Detection Using Text and Image Analysis," ACM Multimedia
Conference.
28. D. Mann et al. (2022), "Cross Language Cyberbullying Detection Using Transfer Learning," Springer Journal of Computational
Social Science.
29. P. K. Roy and F. U. Mali (2022), "Cyberbullying Detection Using Deep Transfer Learning," Complex and Intelligent Systems, 8(6),
5449 5467.
30. N. Lu et al. (2020), "Cyberbullying Detection in Social Media Text Based on Character Level Convolutional Neural Network with
Shortcuts," Concurrency and Computation: Practice and Experience, 32(23), e5627.
31. Dinakar, K., Reichart, R., & Lieberman, H. (2022). Modeling the detection of textual cyberbullying. Proceedings of the International
AAAI Conference on Web and Social Media, 5(1), 11–17.
32. Zhao, R., Zhou, A., & Mao, K. (2022). Automatic detection of cyberbullying on social networks based on bullying features. Proceedings
of the 17th International Conference on Distributed Computing and Networking, 1–6.
33. Rosa, H., Pereira, N., Ribeiro, R., Ferreira, P. C., Carvalho, J. P., & Oliveira, R. (2022). Automatic cyberbullying detection: A
systematic review. Computers in Human Behavior, 93, 333–345.
34. Salawu, S., He, Y., &Lumsden, J. (2022). A survey on cyberbullying detection. ACM Computing Surveys (CSUR), 53(3), 1–35.
35. Devlin, J., Chang, M. W., Lee, K., &Toutanova, K. (2022). BERT: Pre-training of Deep Bidirectional Transformers for Language
Understanding. arXiv preprint arXiv:1810.04805.
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