Cyberbullying Detection: An Ensemble Based Machine Learning Approach

Automated Hate Speech Detection and the Problem of Offensive Language

Davidson, T., Warmsley, D., Macy, M., & Weber, I. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14955 · Cited by 2,610 · see citing works

A Survey on Hate Speech Detection using Natural Language Processing

Schmidt, A. G., & Wiegand, M. (2017) · International Workshop on Natural Language Processing for Social Media (SocialNLP) · doi:10.18653/v1/w17-1101 · Cited by 1,447 · see citing works

Machine Learning Models and Algorithms for Big Data Classification

Suthaharan, S. (2015) · Integrated series on information systems/Integrated series in information systems · doi:10.1007/978-1-4899-7641-3 · Cited by 671 · see citing works

Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification

Sarıtaş, M. M., & Yaşar, A. (2019) · International Journal of Intelligent Systems and Applications in Engineering · doi:10.18201/ijisae.2019252786 · Cited by 408 · see citing works

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

A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter

Muneer, A., & Fati, S. M. (2020) · Future Internet · doi:10.3390/fi12110187 · Cited by 211 · see citing works

Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification

Sarıtaş, M. M., & Yaşar, A. (2019) · International Journal of Intelligent Systems and Applications in Engineering · doi:10.18201//ijisae.2019252786 · Cited by 136 · see citing works

Detecting A Twitter Cyberbullying Using Machine Learning

Dalvi, R. M., Chavan, S. B., & Halbe, A. (2020) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs48265.2020.9120893 · Cited by 100 · see citing works

Cyberbullying Victimization and Adolescent Depression: The Mediating Role of Psychological Security and the Moderating Role of Growth Mindset

Niu, G., He, J., Lin, S., Sun, X., & Longobardi, C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17124368 · Cited by 82 · see citing works

Cyberbullying detection in social media text based on character-level convolutional neural network with shortcuts

Lu, N., Wu, G., Zhang, Z., Zheng, Y., Ren, Y., & Choo, K. R. (2020) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.5627 · Cited by 76 · see citing works

Science of Information

Suthaharan, S. (2015) · Integrated series on information systems/Integrated series in information systems · doi:10.1007/978-1-4899-7641-3_1 · Cited by 44 · see citing works

A comparison of classification algorithms for hate speech detection

Putri, T. T. A., Sriadhi, S., Sari, R. D., Rahmadani, R., & Hutahaean, H. D. (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/830/3/032006 · Cited by 42 · see citing works

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

Talpur, B. A., & O’Sullivan, D. (2020) · Informatics · doi:10.3390/informatics7040052 · Cited by 42 · see citing works

Linking textual and contextual features for intelligent cyberbullying detection in social media

Rezvani, N., Beheshti, A., & Tabebordbar, A. (2020) · International Conference on Advances in Mobile Computing and Multimedia (MoMM) · doi:10.1145/3428690.3429171 · Cited by 33 · see citing works

Machine Learning based Approach for Detection of Cyberbullying Tweets

Shah, R., Aparajit, S., Chopdekar, R., & Patil, R. P. (2020) · International Journal of Computer Applications · doi:10.5120/ijca2020920946 · Cited by 22 · see citing works

Cyber Bullying and Machine Learning: A Survey

Alanazi, I., & Alves-Foss, J. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4249340 · Cited by 8 · see citing works

AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media

Herath, M., Atapattu, T., Dung, H. A., Treude, C., & Falkner, K. E. K. (2020) · International Workshop on Semantic Evaluation (SemEval) · doi:10.18653/v1/2020.semeval-1.198 · Cited by 6 · 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

An application to detect cyberbullying using machine learning and deep learning techniques

Raj, M., Singh, S., Solanki, K., & Selvanambi, R. (2022) · SN Computer Science · doi:10.1007/s42979-022-01308-5 · Cited by 97 · see citing works

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

Fati, S. M., Muneer, A., Alwadain, A. S., & Balogun, A. O. (2023) · Mathematics · doi:10.3390/math11163567 · Cited by 62 · see citing works

Detecting Arabic Cyberbullying Tweets Using Machine Learning

Alduailaj, A. M., & Belghith, A. (2023) · Machine Learning and Knowledge Extraction · doi:10.3390/make5010003 · Cited by 58 · see citing works

Artificial intelligence applications in education: Natural language processing in detecting misconceptions

Kökver, Y., Pektaş, H. M., & Çelik, H. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-024-12919-1 · Cited by 54 · see citing works

Comparative performance of ensemble machine learning for Arabic cyberbullying and offensive language detection

Khairy, M., Mahmoud, T. M., Omar, A., & El‐Hafeez, T. A. (2023) · Language Resources and Evaluation · doi:10.1007/s10579-023-09683-y · Cited by 45 · see citing works

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

From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection

Daraghmi, E. Y., Qadan, S., Daraghmi, Y., Yousef, R. N. M., Cheikhrouhou, O., & Baz, M. (2024) · IEEE Access · doi:10.1109/access.2024.3431939 · Cited by 44 · see citing works

An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying

Alqahtani, A. F., & Ilyas, M. (2024) · Machine Learning and Knowledge Extraction · doi:10.3390/make6010009 · Cited by 47 · see citing works

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

Dewani, A., Memon, M. A., Bhatti, S., Sulaiman, A. A., Hamdi, M., Alshahrani, H. M., Alghamdi, A., & Shaikh, A. (2023) · Applied Sciences · doi:10.3390/app13042062 · Cited by 34 · see citing works

A Hybrid KAN-BiLSTM Transformer with Multi-Domain Dynamic Attention Model for Cybersecurity

Витальевич, Ч. А., Pleshakova, E., & Gataullin, S. T. (2025) · Technologies · doi:10.3390/technologies13060223 · Cited by 29 · see citing works

Machine Learning in Cyberbullying Detection from Social-Media Image or Screenshot with Optical Character Recognition

Department of Computer Science, A. I. U.-B., Sultan, T., Jahan, N., Basak, R., Jony, M. S. A., & Nabil, R. H. (2023) · International Journal of Intelligent Systems and Applications · doi:10.5815/ijisa.2023.02.01 · Cited by 27 · see citing works

ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media

Harshitha, T., Prabu, M., Suganya, E., Sountharrajan, S., Bavirisetti, D. P., Gadde, N., & Uppu, L. S. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1269366 · Cited by 28 · see citing works

Cyberbullying in text content detection: an analytical review

Azumah, S. W., Elsayed, N., ElSayed, Z., & Ozer, M. (2023) · International Journal of Computers and Applications · doi:10.1080/1206212x.2023.2256048 · Cited by 25 · see citing works

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 · see citing works

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

Akter, M. S., Shahriar, H., Ahmed, N., & Cuzzocrea, A. (2022) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata55660.2022.10020249 · Cited by 21 · see citing works

A Machine Learning Ensemble Model for the Detection of Cyberbullying

Alqahtani, A. F., & Ilyas, M. (2024) · International Journal of Artificial Intelligence & Applications · doi:10.5121/ijaia.2024.15108 · Cited by 24 · 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

A novel ensemble model for identification and classification of cyber harassment on social media platform

Abarna, S., Sheeba, J. I., & Devaneyan, S. P. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-230346 · Cited by 14 · see citing works

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data

Akter, M. S., Shahriar, H., Cuzzocrea, A., Wu, F., & Rodriguez-Cardenas, J. (2023) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata59044.2023.10386719 · Cited by 14 · see citing works

Cyberbullying Detection Based on Hybrid Ensemble Method using Deep Learning Technique in Bangla Dataset

Ahmed, M. T., Urmi, A. S., Rahman, M., Islam, A. Z. M. T., Das, D., & Rashed, M. G. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0140958 · Cited by 12 · see citing works

Artificial Intelligence in Detecting and Preventing Online Harassment

Vyawahare, H. R., Khandelwal, S., & Rathod, S. B. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-1435-7.ch002 · Cited by 12 · see citing works

Deep Learning-Based Cyberbullying Detection in Kurdish Language

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

Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies

Aljalaoud, H., Dashtipour, K. K., & Al‐Dubai, A. (2025) · IEEE Access · doi:10.1109/access.2025.3561132 · Cited by 10 · see citing works

Analysis of Multiple Toxicities Using ML Algorithms to Detect Toxic Comments

Kumar, K. A., & Kanisha, B. (2022) · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · doi:10.1109/icacite53722.2022.9823822 · Cited by 10 · see citing works

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

Suhas Bharadwaj, R., Kuzhalvaimozhi, S., & Vedavathi, N. (2023) · Lecture Notes in Networks and Systems · doi:10.1007/978-3-031-21438-7_57 · Cited by 8 · 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

Machine Learning Approaches for Sentiment Analysis on Social Media

Alhejaili, R. A. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-80334-5_2 · Cited by 7 · see citing works

Ensemble Deep Learning (EDL) for Cyber-bullying on Social Media

Bai, Z. S., & Malempati, S. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.0140761 · Cited by 8 · see citing works

Cyberbullying detection in Hinglish comments from social media using machine learning techniques

Kumar, S., Mondal, M., Dutta, T., & Singh, T. D. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19031-z · Cited by 7 · see citing works

Detection of Bullying Text: A Multi-faceted Approach using Machine Learning and Natural Language Processing

Kumar, K. M. K., Ullas, K., Reddy, V. S., Snehitha, M. S., Malkhed, M. E., & Kumar, K. D. (2024) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec61587.2024.10722479 · Cited by 7 · see citing works

The Role of Educational Data Mining and Artificial Intelligence Supported Learning Analytics on Conceptual Change: New Approaches to Differentiated Instruction

Pektaş, H. M., Karamustafaoğlu, O., & Çelik, H. (2025) · Journal of Science Education and Technology · doi:10.1007/s10956-025-10214-3 · Cited by 14 · see citing works

How many cyberbullying(s)? A non-unitary perspective for offensive online behaviours

Guidi, S., Palmitesta, P., Bracci, M., Marchigiani, E., Pomponio, I. D., & Parlangeli, O. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268838 · Cited by 9 · see citing works

Advanced Detection of Violence From Video: Performance Evaluation of Transformer and State of the Art of Convolution of Neural Network Transformer

Alshalawi, A., Abdul, W., & Muhammad, G. (2025) · IEEE Access · doi:10.1109/access.2025.3564435 · Cited by 6 · see citing works

Improved Spam Email Filtering Architecture Using Several Feature Extraction Techniques

Prosun, P. R. K., Alam, K. S., & Bhowmik, S. (2021) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-16-6636-0_50 · Cited by 6 · see citing works

Cyber Bullying and Toxicity Detection Using Machine Learning

Jadhav, R. S., Agarwal, N., Shevate, S., Sawakare, C., Parakh, P., & Khandare, S. (2023) · International Conference on Pervasive Computing and Social Networking (ICPCSN) · doi:10.1109/icpcsn58827.2023.00017 · Cited by 6 · see citing works

Advanced Cyberbullying Detection: A Hybrid Model Integrated with Naïve Bayes

Priyadharshini, M., Hemagowri, J., Banu, A. F., Nithya, B., Srinidhi, K. G., & Murugesh, V. (2024) · International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) · doi:10.1109/iceeict61591.2024.10718535 · Cited by 5 · see citing works

On Improving Automated Detection of Cyber-Bully in Social Networks with Constrained Datasets: A Hierarchical Deep Learning Approach

Nagulapati, V., Rapelli, S. R., Fadlullah, Z. M., Fouda, M. M., Alasmary, W., & Guizani, M. (2022) · International Conference on Communications · doi:10.1109/icc45855.2022.9838544 · Cited by 5 · see citing works

Enhance Social Network Bullying Detection Using Multi-Teacher Knowledge Distillation With XGBoost Classifier

Prasomphan, S. (2025) · IEEE Access · doi:10.1109/access.2025.3574679 · Cited by 5 · see citing works

Is this a violation? Learning and understanding norm violations in online communities

dos Santos, T. F., Osman, N., & Schorlemmer, M. (2023) · Artificial Intelligence · doi:10.1016/j.artint.2023.104058 · Cited by 4 · see citing works

Cyberbullying Detection in Social Media Using Supervised ML and NLP Techniques

Shankar, K., Abirami, A. M., Indira, K., Angeline, C. V. N., & Shubhavya, K. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-2130-8_63 · Cited by 3 · see citing works

Comparision of Varied Embedding and Machine Learning Classifiers for Fine Grained Offensive Content Identification

Chinivar, S., Roopa, M. S., Arunalatha, J. S., & Venugopal, K. R. (2022) · IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE) · doi:10.1109/icwite57052.2022.10176223 · Cited by 3 · see citing works

Cyberbullying Detection using Deep Learning Models in Bengali Language

Beniwal, R., Jha, S., Mehta, S., & Dhiman, R. (2023) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit59222.2023.10205775 · Cited by 3 · see citing works

A Comparison of Word Embeddings for Comment Toxicity Detection: Detection Power of Computer

Kumar, R. P., Bharathi Mohan, G., Elakkiya, R., & Varsha, P. (2023) · International Conference on Communication, Security and Artificial Intelligence (ICCSAI) · doi:10.1109/iccsai59793.2023.10421356 · Cited by 3 · see citing works

A Comparative Study of Machine Learning Approaches for Cyber bullying Detection in Digital Forums

Rohini, D. S., & Ramchander, M. (2023) · International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) · doi:10.1109/icaiccit60255.2023.10466143 · Cited by 3 · see citing works

https://www.irjmets.com/uploadedfiles/paper//issue_3_march_2024/51299/final/fin_irjmets1711566124.pdf

(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets51299 · Cited by 3 · see citing works

Performance Analysis of Cyberbullying Threats in Social Media using Machine Learning Techniques

Suthishni, D. N. P., Merlien, J. J., Shanmugapriya, D., Padmavathi, G., & Roshni, A. (2024) · International Conference on Computing for Sustainable Global Development · doi:10.23919/indiacom61295.2024.10499020 · Cited by 3 · see citing works

Evaluating Online Sexism Detection: A Comparative Study of Machine Learning Models using the EDOS Dataset

Deb, P., Bhuiyan, A. R., Mahrin, H., Momenine, M., Evan, M. S., Sohan, M. S. U., & Khan, M. T. (2024) · IEEE International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct61223.2024.10543680 · Cited by 3 · see citing works

Emotion-Driven Cyberbullying Detection: A Hybrid Deep Learning Approach Integrating CNN-LSTM and BERT for Enhanced Accuracy

Lakkshmanan, A., Kandadi, R. R., & Manda, S. A. (2024) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces63552.2024.10860128 · Cited by 3 · see citing works

NLP-Driven Detection of Cyber-Bullying Comments in Instagram Social Network

Valarmathi, C., Velu, A., Prasanth, A., & Dhanaraj, R. K. (2025) · International Conference on Computing and Information Technology (ICCIT) · doi:10.1109/iccit63348.2025.10989475 · Cited by 3 · see citing works

Machine Learning based Intelligent Cyberbullying Avoidance System

Dhanalakshmi, D., Rani, N. D., Pendam, K., Hariharan, S., Kukreja, V., & Jayakshata, P. (2023) · International Conference on Sustainable Computing and Smart Systems (ICSCSS) · doi:10.1109/icscss57650.2023.10169376 · Cited by 3 · see citing works

Deep Learning Approach for Classification of Tweets in Detecting Cyber Truculent

Olaitan, O. L., David, A. O., & Michael, O. A. (2024) · Advances in Research · doi:10.9734/air/2024/v25i21038 · Cited by 2 · see citing works

Anti-Cyberbullying System Using AI in Social Media

Hosanna, M., & Suguna, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-6681-9_1 · Cited by 2 · see citing works

Improving Cyberbullying Detection Accuracy with Advanced Machine Learning Models

Dhakshnamoorthi, T., Giriraj, M., Gokul, S., & Vanitha, K. (2024) · International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) · doi:10.1109/csitss64042.2024.10817024 · Cited by 2 · see citing works

A Comprehensive Review of Machine Learning and Deep Learning Techniques for Cyberbullying Detection

Jazzar, M., & Duridi, T. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-2182-8_1 · Cited by 3 · see citing works

Analysis of Offensive Data over Multi-Source Social Media Environment Using Modified Random Forest Algorithm

Maheswari, U., V, & Priya, R. (2023) · International Journal of Electronics and Communication Engineering · doi:10.14445/23488549/ijece-v10i9p107 · Cited by 1 · see citing works

A Graph Based Approach for Cyberbullying Classification Using Machine Learning Algorithms

Khedraoui, K., Zine-Dine, K., & Madani, A. (2023) · International Conference on Intelligent Systems: Theories and Applications · doi:10.1109/sita60746.2023.10373699 · Cited by 1 · see citing works

Detection of Cyberbullying in Online Comments Latest Advances and Challenges

Benassou, L. F., Bendaouia, S., Salem, O., & Mehaoua, A. (2023) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom56612.2023.10472372 · Cited by 1 · see citing works

Cyberbullying Detection in Group Chat Applications- A Review

Bhardwaj, R., Billade, A., Chenna, S., Deshpande, A., & Arthamwar, V. (2024) · International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) · doi:10.1109/icicnis64247.2024.10823118 · Cited by 1 · see citing works

Multimodal Cyberbullying Detection In Videos

Suketha, M., H., Naik, J. D., Naik, P. G., Praneeth, P. B., & Lasrado, D. (2024) · International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications (COSMIC) · doi:10.1109/cosmic63293.2024.10871693 · Cited by 1 · see citing works

DETECTING ONLINE HARASSMENT BASED ON SOCIAL MEDIA TEXT BY USING ENSEMBLE LEARNING

Iqbal, H., Sabir, M. Z., Razzaq, A., & Munir, J. (2025) · Kashf Journal of Multidisciplinary Research · doi:10.71146/kjmr485 · Cited by 1 · see citing works

Adaptive Ensemble Learning with a Fine-Tuned Framework for Cyberbullying Detection in Cross-Platform Social Media Environments

Raj, I. A., & Vidya, R. (2026) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.15164 · Cited by 1 · see citing works

A Study of Cyber Bullying Classification Using Social Media and Texual Analysis Based on Machine Learning Approches

Aronno, M. S. R., Zumma, M. T., Prodhan, R., Zohora, F. T., Sakib, N., & Tahmiduzzaman, K. B. M. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10306405 · Cited by 1 · see citing works

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 · see citing works

Approach to Social Media Cyberbullying and Harassment Detection Using Advanced Machine LearningPreprint

Islam, M. S., Orno, A. N., & Arifuzzaman, M. (2024) · Research Square · doi:10.21203/rs.3.rs-4031554/v1 · Cited by 1 · see citing works

Machine and Deep Learning Studies for Cyberbullying Detection

YAKUT, M. F., Sahin, C., & Atay, Y. (2023) · Savunma Bilimleri Dergisi · doi:10.17134/khosbd.1087548

A Survey on Cyberbullying Classification and Detection

Perumal, S. V., & Pamila, J. C. M. J. (2023) · Journal of Information Technology and Digital World · doi:10.36548/jitdw.2023.2.001 · Cited by 1 · see citing works

Identification of Cyberbullying and Finding Target User's Intention on Public Forums

Krishnasamy, L., Kiruthika, M., Manjunatha Swamy, C., Vigneshwaran, T., Sharon Roji Priya, C., & Anand, D. V. (2023) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i59117.2023.10397967

Advancements in Machine Learning Technologies for Detecting and Addressing Harmful Behaviours in Online Platforms

Dmello, J., & Srivaramangai, R. (2024) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2024.59306

Detection of Cyberbullying using BiLSTM

Bhamre, A. (2024) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2024.60420

Analyzing Cyberbullying Word Distribution Across Social Media to Develop Lexicon Dictionary

P, S. V., & Kumar, K. M. A. (2024) · International Conference on Networks, Multimedia and Information Technology (NMITCON) · doi:10.1109/nmitcon62075.2024.10698821

Analysis and Experimental Comparison of State-Of-The-Art Deep-Learning Classification Techniques for Cyberbullying Detection

Cuzzocrea, A., Gallo, C., Akter, M. S., & Shahriar, H. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.09.153

Enhancing Cyberbullying Detection with Stacked Model for Limited Data

Hamami, F., & Dahlan, I. A. (2024) · International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS) · doi:10.1109/ice3is62977.2024.10775746

ENHANCING CYBERBULLYING DETECTION USING ENSEMBLE LEARNING AND EMBEDDINGS

Agrawal, P., Kumar, A., & Tripathi, A. K. (2024) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v5.i1.2024.3194

Realtime Cyberbullying Detection on Telegram: A Machine Learning Approach with Cyberbot

Barbadekar, A., Raut, S., Laddha, K., & Shekhavat, A. (2024) · IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS) · doi:10.1109/icbds61829.2024.10837449

An Ensemble Learning Framework for Robust Cyberbullying Detection on Social Media

Saeed, M. H., Mohammed, S. A., Noamaan, T., Farooq, R. M., & Raheem, M. A. (2025) · International Journal of Engineering and Advanced Technology · doi:10.35940/ijeat.c4561.14030225

Unified Classifier Stacking: A Comprehensive Ensemble Approach to Cyberbullying Detection

Kumar, P., Uppal, G., Upadhyay, R., Gupta, R., Dabral, O., Dwivedy, N., & Kumar, B. (2024) · IEEE Conference on Information and Communication Technology (CICT) · doi:10.1109/cict64037.2024.10899548

Machine Learning Approaches To Detect And Mitigate Cyberbullying In Online Communities

Smitha, P. B., & Kavipriya, P. (2024) · International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW) · doi:10.1109/icietdw61607.2024.10939760

A Data-Driven Retrospective Analysis of Cyberbullying Using Machine Learning Algorithms

Tripathi, A. R., Tyagi, P., Sivaraman, H., Kumar, A., & Jain, S. (2025) · International Conference on Automation and Computation (AUTOCOM) · doi:10.1109/autocom64127.2025.10956404

Cyberbullying Detection Using QDA and LDA Algorithms

Sai, T. S., Singavarapu, R., Penala, A., Rakesh, B., & Anjali, T. (2025) · International Conference on Machine Learning and Autonomous Systems (ICMLAS) · doi:10.1109/icmlas64557.2025.10968812

Hybrid Models with Dynamic Fusion for Cyberbullying Detection: A Comparative Analysis

Gireesh, M., Venugopal, A., & Mahesh, A. S. (2025) · International Conference on Pervasive Computing and Social Networking (ICPCSN) · doi:10.1109/icpcsn65854.2025.11036008

Defending the digital domain: BERT-Powered deep learning for aggression detection in text stream

Sekhar, G. C., Brahmaiah, A., Kalaiarasi, G., Selvi, M., Yogitha, R., & Dhanalakshmi, K. (2025) · AIP conference proceedings · doi:10.1063/5.0265147

Enhance Social Network Bullying Detection using Transfer Learning with Random Forest Classifier

Prasomphan, S. (2025) · International Conference on Computing and Artificial Intelligence (ICCAI) · doi:10.1109/iccai66501.2025.00120

Cyberbullying Detection on Twitter: A Comparison of One-Step vs. Two-Step Classification Approaches

Halim, D. E. S., Tandoko, F. A., Wulandhari, L. A., & Nabiilah, G. Z. (2025) · IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT) · doi:10.1109/iaict65714.2025.11101479

Cyberbullying Detection: A Comparative Evaluation of Learning Models on a Unified Public Dataset

Ghanem, D., Mansour, D., AlSayeh, R., Amari, Z., Hamzah, A., & Maabreh, M. (2025) · International Conference on Cybersecurity and AI-Based Systems (Cyber-AI) · doi:10.1109/cyber-ai66431.2025.11233349

An effective cyberbullying-flashing identification on whatsapp using PTS-GReLU-GRU with harmful level prediction

Karpagam, M., Naveenkumar, N., Panguluri, V., Hanuman, C. R. S., Usharani, R., Priya, S. M., & Sharma, P. C. (2025) · Scientific Reports · doi:10.1038/s41598-025-28765-1

A Hybrid RF and AdaBoost Ensemble Model for Detecting Cyberbullying on Social Media

Natrayan, L., Saranya, V. S., Kumar, J., Kaliappan, S., Maranan, R., & Pathuri, S. K. (2025) · International Conference on Intelligent Computing and Communication Systems (CICCS) · doi:10.1109/ciccs66437.2025.11280190

Machine Learning-Based Analysis of Tweets Concerning Women's Safety

Mahesh, V. G. V., Ruth, J. A., & Prabha, R. C. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-96-8104-4_34

Detecting racism in the digital age: a survey of datasets and algorithms

Miqdadi, I. E., Hourri, S., Hayati, A., Namir, Y., Idrysy, F. Z. E., & Kharroubi, J. (2026) · Language Resources and Evaluation · doi:10.1007/s10579-026-09913-z

Advancements and Challenges in Image-Based Cyberbullying Detection: A Comprehensive Review

Haldar, B., Saha, C., Thakur, G. S. M., & Saha, B. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-3309-1_10

AI-Powered Cyberbullying Detection in Indian Languages: An Ensemble Approach With XAI

Shah, M., & Ranjithkumar, S. (2026) · International Journal of Research in Science and Technology · doi:10.37648/ijrst.v16i01.007

Evaluating Deep Learning and Ensemble Techniques for Cyberbullying Detection in Bengali Social Media with Feature Fusion

Srity, T. B., Tasnima, H. S., Humaira, U., & Suha, S. A. (2025) · IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) · doi:10.1109/wiecon-ece69386.2025.11526569

Multi-Layer Hybrid Bi-Directional Encoder Architecture for Social Media Bullying Detection

Patel, D., & Shah, A. (2026) · International Conference on Computational Intelligence and Communication Networks (CICN) · doi:10.1109/cicn70047.2026.11594216

Text-Bullying Detection in Online Social Networks Using Two Levels Ensemble Approach

Wasid, M., & Amar, A. Y. A. (2025) · International Conference on Computing and Information Technology (ICCIT) · doi:10.1109/iccit63348.2025.10989420

A Multi-Model Ensemble Learning Approach for Cyberbullying Detection in Social Networks

Natrayan, L., Sirisha, J., Kumar, J. V. R., Kaliappan, S., Maranan, R., & Pathuri, S. K. (2025) · IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET) · doi:10.1109/acroset66531.2025.11281039 · Cited by 1 · see citing works

Cyberbullying detection: an ensemble learning approach

Roy, P. K., Singh, A. P., Tripathy, A. K., & Das, T. K. (2022) · International Journal of Computational Science and Engineering · doi:10.1504/ijcse.2022.123121 · Cited by 5 · see citing works

Detecting Text-Bullying on Twitter Using Machine Learning Algorithms

Amer, A. Y. A., & Siddiqui, T. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-88378-2_17 · Cited by 1 · see citing works

CYBER BULLYING DETECTION USING MACHINE LEARNING

Alexander, A., & Joseph, G. (2022) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.6906676