Cyberbullying detection solutions based on deep learning architectures

Following you home from school: A critical review and synthesis of research on cyberbullying victimization

Tokunaga, R. S. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.11.014 · Cited by 2,566

Bullies Move Beyond the Schoolyard: A Preliminary Look at Cyberbullying

Patchin, J. W., & Hinduja, S. (2006) · Youth Violence and Juvenile Justice · doi:10.1177/1541204006286288 · Cited by 1,701

Detecting Offensive Language in Social Media to Protect Adolescent Online Safety

Chen, Y., Zhou, Y., Zhu, S., & Xu, H. (2012) · International Conference on Social Computing · doi:10.1109/socialcom-passat.2012.55 · Cited by 653

Ex Machina: Personal Attacks Seen at Scale

Wulczyn, E., Thain, N., & Dixon, L. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052591 · Cited by 636

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms

Agrawal, S., & Awekar, A. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-76941-7_11 · Cited by 387

Automatic cyberbullying detection: A systematic review

Rosa, H., Pereira, N., Ribeiro, R., Ferreira, P. C., Carvalho, J. P., Oliveira, S., Coheur, L., Paulino, P., Veiga Simão, A. M., & Trancoso, I. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.12.021 · Cited by 307

Machine learning approach for detection of cyber-aggressive comments by peers on social media network

Chavan, V. S., & Shylaja, S. S. (2015) · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2015.7275970 · Cited by 153

KeySplitWatermark: Zero Watermarking Algorithm for Software Protection Against Cyber-Attacks

Iwendi, C., Jalil, Z., Javed, A. R., Gadekallu, T. R., Kaluri, R., Srivastava, G., & Jo, O. (2020) · IEEE Access · doi:10.1109/access.2020.2988160 · Cited by 146

Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder

Zhao, R., & Mao, K. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2016.2531682 · Cited by 138

Cryptocurrency malware hunting: A deep Recurrent Neural Network approach

Yazdinejad, A., HaddadPajouh, H., Dehghantanha, A., Parizi, R. M., Srivastava, G., & Chen, M. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106630 · Cited by 135

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

Moving Vehicle Detection and Classification Using Gaussian Mixture Model and Ensemble Deep Learning Technique

Jagannathan, P., Rajkumar, S., Frnda, J., Divakarachari, P. B., & Prabu, S. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/5590894 · Cited by 106

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

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

Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data

Dewani, A., Memon, M. A., & Bhatti, S. (2021) · Journal of Big Data · doi:10.1186/s40537-021-00550-7 · Cited by 91

Abusive Bangla comments detection on Facebook using transformer-based deep learning models

Aurpa, T. T., Sadik, R., & Ahmed, M. S. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00852-x · Cited by 91

Sustainable Security for the Internet of Things Using Artificial Intelligence Architectures

Iwendi, C., Rehman, S. U., Javed, A. R., Khan, S. A., & Srivastava, G. (2021) · ACM Transactions on Internet Technology · doi:10.1145/3448614 · Cited by 89

Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction

Kumar, R., Khan, F., Din, S., Band, S. S., Mosavi, A. H., & Ibeke, E. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.744100 · Cited by 83

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 63

Deployment of Machine Learning and Deep Learning Algorithms in Detecting Cyberbullying in Bangla and Romanized Bangla text: A Comparative Study

Ahmed, M. T., Rahman, M., Nur, S., Islam, A., & Das, D. (2021) · 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) · doi:10.1109/icaect49130.2021.9392608 · Cited by 60

Improvement of emotion recognition from facial images using deep learning and early stopping cross validation

Bentoumi, M., Daoud, M., Benaouali, M., & Ahmed, A. T. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12058-0 · Cited by 60

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 self-congruence and impulse buying effect on user’s shopping behaviour over social networking sites: an empirical study

Chauhan, S., Banerjee, R., Chakraborty, C., Mittal, M., Shiva, A., & Ravi, V. (2021) · International Journal of Pervasive Computing and Communications · doi:10.1108/ijpcc-01-2021-0013 · Cited by 63

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 study of machine learning-based models for detection, control, and mitigation of cyberbullying in online social media

Kumar, R., & Bhat, A. (2022) · International Journal of Information Security · doi:10.1007/s10207-022-00600-y · Cited by 45

Cyberbullying Detection and Severity Determination Model

Obaida, M. H., Guirguis, S. K., & Elkaffas, S. M. (2023) · IEEE Access · doi:10.1109/access.2023.3313113 · Cited by 44

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

Granular computing-based deep learning for text classification

Behzadidoost, R., Mahan, F., & Izadkhah, H. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119746 · Cited by 40

AI Powered Anti-Cyber Bullying System using Machine Learning Algorithm of Multinomial Naïve Bayes and Optimized Linear Support Vector Machine

Ige, T., & Adewale, S. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.0130502 · Cited by 40

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

Deep learning approach to detect cyberbullying on twitter

Oğuz, Ç., & Yağanoğlu, M. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19869-3 · Cited by 38

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment

Dhiman, P., Poongodi, M., Lilhore, U. K., Alroobaea, R., Kaur, A., Iwendi, C., Alsafyani, M., Baqasah, A. M., & Raahemifar, K. (2023) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-023-01025-y · Cited by 36

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

THAR- Targeted Hate Speech Against Religion: A high-quality Hindi-English code-mixed Dataset with the Application of Deep Learning Models for Automatic Detection

Sharma, D., Singh, A., & Singh, V. K. (2024) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3653017 · Cited by 34

Building towards Automated Cyberbullying Detection: A Comparative Analysis

Al-Harigy, L. M., Al-Nuaim, H. A., Moradpoor, N., & Tan, Z. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/4794227 · Cited by 32

An enhanced encryption-based security framework in the CPS Cloud

Priyadarshini, R., Quadir, A., Rajendran, N., Neelanarayanan, V., & Sabireen, H. (2022) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-022-00336-z · Cited by 31

Cyberbullying detection framework for short and imbalanced Arabic datasets

Alzaqebah, M., Jaradat, G. M., Nassan, D., Alnasser, R. I. A. R. I., Alsmadi, M. K., Almarashdeh, I., Jawarneh, S., Alwohaibi, M., Al-Mulla, N. A., Alshehab, N., et al. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.101652 · Cited by 31

Deep Learning Based Cyberbullying Detection in Bangla Language

Nath, S. S., Karim, R., & Miraz, M. H. (2023) · Annals of Emerging Technologies in Computing · doi:10.33166/aetic.2024.01.005 · Cited by 29

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

Optimal Deep Learning-based Cyberattack Detection and Classification Technique on Social Networks

Albraikan, A. A., Hassine, S. B. H., Fati, S. M., Al‐Wesabi, F. N., Hilal, A. M., Motwakel, A., Hamza, M. A., & Duhayyim, M. A. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.024488 · Cited by 28

VCNet: Hybrid Deep Learning Model for Detection and Classification of Lung Carcinoma Using Chest Radiographs

Tandon, R., Agrawal, S., Chang, A., & Band, S. S. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.894920 · Cited by 28

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

Data expansion using back translation and paraphrasing for hate speech detection

Beddiar, D. R., Jahan, S., & Oussalah, M. (2021) · Online Social Networks and Media · doi:10.1016/j.osnem.2021.100153 · Cited by 25

Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View

Wang, S., Xingquan Zhu, A., Ding, W., & Yengejeh, A. A. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105740 · Cited by 25

Voice spoofing countermeasure for voice replay attacks using deep learning

Zhou, J., Hai, T., Jawawi, D. N. A., Wang, D., Ibeke, E., & Biamba, C. N. (2022) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-022-00306-5 · Cited by 25

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

Human Activity Classification Using Multilayer Perceptron

Gorjani, O. M., Byrtus, R., Dohnal, J., Bilík, P., Koziorek, J., & Martínek, R. (2021) · Sensors · doi:10.3390/s21186207 · Cited by 25

Detection of Harassment Type of Cyberbullying: A Dictionary of Approach Words and Its Impact

Mahbub, S., Pardede, E., & Kayes, A. S. M. (2021) · Security and Communication Networks · doi:10.1155/2021/5594175 · Cited by 23

Deep vision-based surveillance system to prevent train–elephant collisions

Gupta, S., Mohan, N., Nayak, P., Nagaraju, K. C., & Karanam, M. (2021) · Soft Computing · doi:10.1007/s00500-021-06493-8 · Cited by 23

Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms

Obaida, M. H., Elkaffas, S. M., & Guirguis, S. K. (2024) · IEEE Access · doi:10.1109/access.2024.3406595 · Cited by 22

Using AI-Based Virtual Companions to Assist Adolescents with Autism in Recognizing and Addressing Cyberbullying

Ferrer, R. V., Ali, K., & Hughes, C. E. (2024) · Sensors · doi:10.3390/s24123875 · Cited by 22

Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images

Cherian, A. K., Poovammal, E., Philip, N. S., Ramana, K., Singh, S., & Ra, I.-H. (2021) · Water · doi:10.3390/w13192742 · Cited by 22

Analysing Cyberbullying Using Natural Language Processing by Understanding Jargon in Social Media

Bhatia, B., Verma, A., Anjum, & Katarya, R. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-9012-9_32 · Cited by 20

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 Machine Learning Approach to Cyberbullying Detection in Arabic Tweets

Musleh, D. A., Rahman, A., Alkherallah, M. A., Al-Bohassan, M. K., Alawami, M. M., Alsebaa, H. A., Alnemer, J. A., Al-Mutairi, G. F., Aldossary, M. I., Aldowaihi, D. A., et al. (2024) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2024.048003 · Cited by 19

Cyberbullying Text Classification for Social Media Data Using Embedding And Deep Learning Approaches

Kumar, A. V., Gupta, D., & Venugopalan, M. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10307330 · Cited by 18

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

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

An Empirical Study to Detect Cyberbullying with TF-IDF and Machine Learning Algorithms

Rahman, S., Talukder, K. H., & Mithila, S. K. (2021) · 2021 International Conference on Electronics, Communications and Information Technology (ICECIT) · doi:10.1109/icecit54077.2021.9641251 · Cited by 15

Real-time trajectory privacy protection based on improved differential privacy method and deep learning model

Xiong, J., & Zhu, H. (2022) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-022-00332-3 · 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

Cyberbullying Detection using Deep Learning Techniques on Bangla Facebook Comments

Shanto, S. B., Islam, M. J., & Samad, M. A. (2023) · International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC) · doi:10.1109/isacc56298.2023.10083690 · Cited by 15

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

A HOG Feature Extractor and KNN-Based Method for Underwater Image Classification

Demir, K., & Yaman, O. (2024) · Firat University Journal of Experimental and Computational Engineering · doi:10.62520/fujece.1443818 · Cited by 14

Recurrent neural network based multiclass cyber bullying classification

Sifath, S., Islam, T., Erfan, M., Dey, S. K., Islam, M., Samsuddoha, M., & Rahman, T. (2024) · Natural Language Processing Journal · doi:10.1016/j.nlp.2024.100111 · Cited by 14

Consensus-Based Ensemble Model for Arabic Cyberbullying Detection

Alhashmi, A. A., & Darem, A. A. (2021) · Computer Systems Science and Engineering · doi:10.32604/csse.2022.020023 · Cited by 14

A survey of deep domain adaptation based on label set classification

Fan, M., Cai, Z., Zhang, T., & Wang, B.-Y. (2022) · Multimedia tools and applications · doi:10.1007/s11042-022-12630-8 · Cited by 13

A novel approach toward cyberbullying with intelligent recommendations using deep learning based blockchain solution

Alabdali, A. M., & Mashat, A. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1379211 · Cited by 12

Biochar from Delonix regia pod: consideration of an updraft retort carbonisation process

Ighalo, J. O., Adeniyi, A. G., Ogunniyi, S., Adeyanju, C. A., Saliu, O. D., Igwegbe, C. A., & Dulta, K. (2023) · Biofuels · doi:10.1080/17597269.2023.2261791 · Cited by 12

Application of no-light fault prediction of PON based on deep learning method

Jiang, W., Qian, Q., Yong, W., Kumar, R., Wu, J., & Zhang, H. (2023) · Computer Communications · doi:10.1016/j.comcom.2023.06.002 · Cited by 11

Deep Learning-Based Cyberbullying Detection in Kurdish Language

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

Enhanced quantum long short-term memory neural network based multi-task learning for sentimental analysis and cyberbullying detection

Subhashree, K., & Kumar, S. M. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127555 · Cited by 11

Cyber Forensics with Machine Learning

Shahzad, F., Javed, A. R., Jalil, Z., & Iqbal, F. (2022) · Springer eBooks · doi:10.1007/978-1-4899-7502-7_987-1 · Cited by 11

Performance analysis of annotation detection techniques for cyber-bullying messages using word-embedded deep neural networks

Giri, S., & Banerjee, S. (2023) · Social Network Analysis and Mining · doi:10.1007/s13278-022-01023-2 · Cited by 10

Cyberbullying Detection on Multiclass Data Using Machine Learning and A Hybrid CNN-BiLSTM Architecture

Balaji, P. G., Katariya, P. P., Sruthi, S., & Venugopalan, M. (2024) · International Conference on Knowledge Engineering and Communication Systems (ICKECS) · doi:10.1109/ickecs61492.2024.10616957 · Cited by 10

Comparative Analysis of Machine Learning Algorithms and Ensemble Techniques for Diverse Image Classification Tasks

Salim, Y., Rakasyah, A. F., Darwis, H., Harlinda, H., Irawati, I., & Manga, A. R. (2025) · International Conference on Ubiquitous Information Management and Communication (IMCOM) · doi:10.1109/imcom64595.2025.10857517 · Cited by 9

Deep learning models for culturally aware cyberbullying detection in Muslim societies: a systematic review

Mohiuddin, G. M., Sayeed, M. S., & Ong, L. Y. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00577-2 · Cited by 10

Reinforced multi-modal cyberbullying detection with subgraph neural networks

Luo, K., Zheng, C., & Guan, Z. (2024) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-024-02384-0 · Cited by 9

Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms

Apoorva, K. G., & Uma, D. (2022) · Asian Conference on Innovation in Technology (ASIANCON) · doi:10.1109/asiancon55314.2022.9908898 · Cited by 9

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

Assessing the Effect of Data Augmentation on Occluded Frontal Faces Using DWT-PCA/SVD Recognition Algorithm

Asiedu, L., Mensah, J. A., Ayiah-Mensah, F., & Mettle, F. O. (2021) · Advances in Multimedia · doi:10.1155/2021/4981394 · Cited by 8

An automated crack detection method for underwater structures based on multilevel DWT and LPQ feature generation

Yaman, O., Tuncer, T., & Ertam, F. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15229-9 · Cited by 8

Hybrid deep learning model for detection and classification of lung cancer fusion images using MCNet

Nandipati, B. L., & Devarakonda, N. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-231145 · Cited by 8

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

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

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

Soft computing for abuse detection using cyber‐physical and social big data in cognitive smart cities

Sangwan, S. R., & Bhatia, M. P. S. (2021) · Expert Systems · doi:10.1111/exsy.12766 · Cited by 8

Intelligent Application for Textual Content Authorship Identification based on Machine Learning and Sentiment Analysis

Uhryn, D. I., Vysotska, V., Chyrun, L., Chyrun, S., Hu, C., & Ushenko, Y. (2025) · International Journal of Intelligent Systems and Applications · doi:10.5815/ijisa.2025.02.05 · 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

A Comparative Study of Cyberbullying Detection in Social Media for the Last Five Years

Haydar, N., & Dhannoon, B. N. (2023) · Journal of Al-Nahrain University-Science · doi:10.22401/anjs.26.2.08 · Cited by 7

AI-Powered Harmony

Malhotra, M., Ghosh, R., Kumar, N., & Kishore Kumar Reddy, C. (2025) · Advances in social networking and online communities book series · doi:10.4018/979-8-3373-0543-1.ch004 · Cited by 7

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

Towards Safer Social Spaces: LSTM, Bi-LSTM and Hybrid Approach for Cyberbullying Detection in Assamese language on Social Networks

Dutta, S., Neog, M., & Baruah, N. (2024) · International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) · doi:10.1109/ic-etite58242.2024.10493302 · Cited by 7

Comparative Analysis of GPT Models for Detecting Cyberbullying in Social Media Platforms Threads

Islam, M. S., & Rafiq, R. I. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-63616-5_25 · Cited by 7

Detecting Cybercrime: An Evaluation of Machine Learning and Deep Learning Using Natural Language Processing Techniques on the Social NetworkPreprint

Amer, A. Y. A., Siddiqui, T., & Athamena, B. (2022) · Research Square · doi:10.21203/rs.3.rs-2184218/v1 · Cited by 7

Enhancing Multi-Class Cyberbullying Classification with Hybrid Feature Extraction and Transformer-Based Models

Fati, S. M., Mahdi, M. A., Hazber, M. A. G., Ahamad, S., Saad, S. A., Ragab, M. G., & Al-Shalabi, M. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.063092 · Cited by 6

Comparative Analysis of Word Embeddings for Multiclass Cyberbullying Detection

Faraj, A., & Utku, S. (2024) · UHD Journal of Science and Technology · doi:10.21928/uhdjst.v8n1y2024.pp55-63 · Cited by 8

Introduction of PMI-SO Integrated with Predictive and Lexicon Based Features to Detect Cyberbullying in Bangla Text Using Machine Learning

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