A Novel Multimodal Hybrid Classifier Based Cyberbullying Detection for Social Media Platform

Improving cyberbullying detection using Twitter users’ psychological features and machine learning

Balakrishnan, V., Khan, S., & Arabnia, H. R. (2020) · Computers & Security · doi:10.1016/j.cose.2019.101710 · Cited by 250 · see citing works

Cyberbullying detection solutions based on deep learning architectures

Iwendi, C., Srivastava, G., Khan, S., & Maddikunta, P. K. R. (2023) · Multimedia Systems · doi:10.1007/s00530-020-00701-5 · Cited by 205 · see citing works

Accurate Cyberbullying Detection and Prevention on Social Media

Perera, A., & Fernando, P. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.01.207 · Cited by 145 · see citing works

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 · see citing works

Machine Learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection

Chia, Z. L., Ptaszynski, M. E., Masui, F., Leliwa, G., & Wroczyński, M. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102600 · Cited by 129 · see citing works

Cyberbullying Detection: Hybrid Models Based on Machine Learning and Natural Language Processing Techniques

Raj, C., Agarwal, A., Bharathy, G., Narayan, B., & Prasad, M. (2021) · Electronics · doi:10.3390/electronics10222810 · Cited by 128 · see citing works

Cyberbullying Detection: An Ensemble Based Machine Learning Approach

Alam, K. S., Bhowmik, S., & Prosun, P. R. K. (2021) · 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) · doi:10.1109/icicv50876.2021.9388499 · Cited by 94 · see citing works

A Multichannel Deep Learning Framework for Cyberbullying Detection on Social Media

Alotaibi, M., Alotaibi, B., & Razaque, A. (2021) · Electronics · doi:10.3390/electronics10212664 · Cited by 94 · see citing works

Cyberbullying Detection with Weakly Supervised Machine Learning

Raisi, E., & Huang, B. (2017) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/3110025.3110049 · Cited by 92 · see citing works

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 · see citing works

Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media

Neelakandan, S., Sridevi, M., Chandrasekaran, S., Murugeswari, K., Pundir, A. K. S., Sridevi, R., & Thamineni, B. L. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/2163458 · Cited by 72 · see citing works

Cyberbullying detection using deep transfer learning

Roy, P. K., & Mali, F. U. (2022) · Complex & Intelligent Systems · doi:10.1007/s40747-022-00772-z · Cited by 57 · see citing works

Improving Cyberbullying Detection with User Interaction

Ge, S., Cheng, L., & Liu, H. (2021) · Proceedings of the Web Conference 2021 · doi:10.1145/3442381.3449828 · Cited by 51 · see citing works

Improving classifier training efficiency for automatic cyberbullying detection with Feature Density

Eronen, J., Ptaszynski, M. E., Masui, F., Smywiński-Pohl, A., Leliwa, G., & Wroczyński, M. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102616 · Cited by 44 · see citing works

Modeling temporal patterns of cyberbullying detection with hierarchical attention networks

Cheng, L., Guo, R., Silva, Y. N., Hall, D., & Liu, H. (2021) · ACM/IMS Transactions on Data Science · doi:10.1145/3441141 · Cited by 43 · see citing works

A Socio-linguistic Model for Cyberbullying Detection

Tomkins, S., Getoor, L. C., Chen, Y., & Zhang, Y. (2018) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1109/asonam.2018.8508294 · Cited by 32 · see citing works

Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach

Cheng, L., Mosallanezhad, A., Silva, Y. N., Hall, D. L., & Liu, H. (2021) · doi:10.18653/v1/2021.acl-long.168 · Cited by 31 · see citing works

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

Maity, K., Kumar, A., & Saha, S. (2022) · IEEE Internet Computing · doi:10.1109/mic.2022.3158583 · Cited by 30 · see citing works

The Use of a Large Language Model for Cyberbullying Detection

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

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

Li, T., Zeng, Z., Li, Q., & Sun, S. (2024) · Information Processing & Management · doi:10.1016/j.ipm.2024.103651 · Cited by 27 · see citing works

Cyberbullying detection: Exploring datasets, technologies, and approaches on social media platforms

Philipo, A. G., Sarwatt, D. S., Ding, J., Daneshmand, M., & Ning, H. (2026) · ACM Computing Surveys · doi:10.1145/3785654 · Cited by 14 · see citing works

Protecting Privacy on Social Media: Mitigating Cyberbullying and Data Heist Through Regulated Use and Detox, with a Mediating Role of Privacy Safety Motivations

Niu, J., Mazhar, B., Haq, I. U., & Maqsood, F. (2024) · Social Media + Society · doi:10.1177/20563051241306331 · Cited by 20 · see citing works

Evolutionary Algorithm with Graph Neural Network Driven Cyberbullying Detection on Low Resource Asian Languages

Rasool, H. A., Al-Dolaimy, F., Hasan, F. F., Alsalamy, A., Saleem, M., Alkhayyat, A. H., & Sharma, M. (2023) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3609799 · Cited by 8 · see citing works

Classification of Text, Image and Audio Messages Used for Cyberbulling on Social Medias

Idrizi, E., & Hamiti, M. (2023) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro57284.2023.10159835 · Cited by 5 · see citing works

Multi-modal Cyberbullying Detection with Severity Analysis Using Deep-Tensor Fusion Framework

Singh, N. M., & Sharma, S. K. (2025) · International Journal of Computer Network and Information Security · doi:10.5815/ijcnis.2025.03.08 · Cited by 2 · see citing works

Multimodal Cyberbullying Detection for Educational Well-Being: Leveraging Text, Image, and Audio Analysis to Support Student Safety

Idrizi, E., Hamiti, M., & Imeri-Saiti, D. (2026) · International journal of education & well-being. · doi:10.62416/ijwb-79

Hybrid CNN and Emotion-Aware Feature Model for Cyberbullying Detection on Social Media Text

Vayada, P. C., Prasad, M., & Sinha, R. K. (2025) · IEEE International Conference on ICT in Business Industry & Government (ICTBIG) · doi:10.1109/ictbig68706.2025.11323992

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 · see citing works

Classification of cyberbullying in social media using Natural Language Programming methodPreprint

Vivekananth, P., & Sharma, N. (2024) · Research Square · doi:10.21203/rs.3.rs-3990421/v1

Multi-modal detection of cyberbullying on Twitter

Qiu, J., Moh, M., & Moh, T.-S. (2022) · ACM Southeast Regional Conference (ACMSE) · doi:10.1145/3476883.3520222 · Cited by 19 · see citing works

Detection and Classification of Cyberbullying in Social Media using Text Mining

Nisha, M., & Jebathangam, J. (2022) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca55336.2022.10009445 · Cited by 10 · see citing works