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

Detection of Cyberbullying Using Modified Dense Framework

Malik, V., Mittal, R., Sıngh, V., Mittal, A., Singh, S. V., & Diwvedi, S. P. (2023) · IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) · doi:10.1109/upcon59197.2023.10434862 · Cited by 4

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

AraBERT for Arabic cyberbullying detection in Facebook comments

Hithnawi, R. I., Hamarsheh, M. M. N., & Maree, M. (2025) · Journal of Cybersecurity · doi:10.1093/cybsec/tyaf030 · Cited by 3

Cyberbullying Detection on Social Media: A Brief Survey

Hussein, F. N. A., & Aleqabie, H. J. (2023) · International Conference on Advanced Computer Applications (ACA) · doi:10.1109/aca57612.2023.10346758 · Cited by 3

ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media

Chen, K.-C., Chen, C.-Y., & Li, C. (2023) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata59044.2023.10386090 · Cited by 3

WSD-Based Bangla Cyberbullying Detection Using Transform Learning

Majumder, A., & Kumar, A. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-3817-5_21 · Cited by 3

An ideal deeply contextual prediction model for an effective prediction and mitigation of cyberbullying in social networks

Prathaban, B. P., Vaishnavi, T., Ramesh, A. P., Sujaritha, M., Rama, R. S., & Jeffin Gracewell, J. (2024) · International Journal of Information Technology · doi:10.1007/s41870-024-02350-7 · Cited by 3

Leveraging Sentiment and Emotion Analysis to Enhance Cyberbullying Detection

Berjawi, O., Khatoun, R., Fahs, W., & Fenza, G. (2024) · International Conference on Social Networks Analysis, Management and Security (SNAMS) · doi:10.1109/snams64316.2024.10883815 · Cited by 3

Fusing Transformer-XL with bi-directional recurrent networks for cyberbullying detection

Hossain, M. M., Hossain, M. J., Hossain, M. S., Mridha, M. F., Safran, M., Alfarhood, S., & Che, D. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.2940 · Cited by 3

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

Unified Transformer Framework for Automated Cyberbullying Detection

Alikhashashneh, E. A., Alsawan, H., Nahar, K. M. O., Shatnawi, N. M., Almomani, A., Alauthman, M., Bansal, S., & Pan, V. S.-H. (2025) · International Journal of Cloud Applications and Computing · doi:10.4018/ijcac.386166 · Cited by 3

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

Automated Decision Support System for Cyberbullying Detection

Kannammal, A., Omprakash, S. H., & Dheerthan, J. D. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.12.130 · Cited by 3

NLP Techniques Cyberbullying Text Analysis on Twitter

Rishi, R., Irfan, M. A. M., & Balamurugan, G. (2024) · International Conference on Communications and Signal Processing (ICCSP) · doi:10.1109/iccsp60870.2024.10544177 · Cited by 3

A STUDY ON DEEP LEARNING ALGORITHMS FOR MULTIMODAL AND MULTILINGUAL CYBERBULLYING DETECTION

Vijayakumar, V., & Hari Prasad, D. (2021) · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · doi:10.36106/ijar/4620274 · Cited by 3

Cyberbullying Prediction As Cyber Counseling Tools With Data Mining Classification

Pamuji, A., & Setiawan, H. S. (2022) · Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) · doi:10.36080/bit.v19i1.1789 · Cited by 3

A Feature Engineering Approach for Detecting Cyberbullying in Bangla Text Using Machine Learning

Rahman, M., Nur, S., Ahmed, M. T., Das, D., & Islam, A. T. (2022) · International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET) · doi:10.1109/icrpset57982.2022.10188573 · Cited by 3

Comparative Analysis of Cyberbullying Detection: A case study for Turkish and English

Najib, A., Özel, S. A., & Çoban, Ö. (2023) · Innovations in Intelligent Systems and Applications Conference (ASYU) · doi:10.1109/asyu58738.2023.10296722 · Cited by 3

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

Analysing Machine Learning Techniques for Cyberbullying Detection: A Review Study

Aziz, S., Usman, M., Azam, A., Ahmad, F., Bilal, M., & Cheema, A. A. (2022) · International Conference on Emerging Technologies · doi:10.1109/icet56601.2022.10004667 · Cited by 3

A Review of the Past Decade's Research Outcomes on Classifying Cyberbullying

Ameen, Z. H., Al-Mukhtar, F. S., Ahmed, H. Q., & Dhannoon, B. N. (2024) · Journal of Al-Nahrain University-Science · doi:10.22401/anjs.27.1.11 · Cited by 2

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

Towards a comprehensive taxonomy of online abusive language informed by machine learning

Moghaddam, S. H., Lyons, K. E., Regehr, C., Goel, V., & Regehr, K. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101154 · Cited by 2

A Scientometric Analysis of Potentially Harmful Speech Detection in Muslim Communities: Trends, Challenges, and Future Directions

Guo, X., Adnan, H. M., & Abidin, M. Z. Z. (2025) · Society · doi:10.1007/s12115-025-01119-3 · Cited by 2

A Hybrid BERT-CNN with Multihead Self-Attention for Automated Cyberbullying Detection

Yerekesheva, M., Akhmetova, O. S., Kaziyeva, A. N., Sultan, D., Toktarova, A., Abdrakhmanov, R., & Tolep, A. S. (2026) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.12741 · Cited by 2

Enhancing Cyberbullying Detection Through Keyword Filtering: A Comparative Study of ML and DL Approaches

Kaarthika, R., Hemamalini, R., & Kanmani, R. S. (2024) · International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) · doi:10.1109/iconscept61884.2024.10627823 · Cited by 2

Perbandingan performa deteksi cyberbullying dengan transformer, deep learning, dan machine learning

Muftie, F., Yafi, K. M., & Addina, Q. M. (2024) · Jurnal Pendidikan Informatika dan Sains · doi:10.31571/saintek.v13i1.4002 · Cited by 2

Abuse Detection of Cyberbullying in Tweets Data Using Ensemble DL Model with Advanced Voting Mechanisms

Mahaveerakannan, R., Anitha, C., & S, M. D. M. (2024) · World Conference on Communication & Computing (WCONF) · doi:10.1109/wconf61366.2024.10692193 · Cited by 2

Detecting Insults on Social Network Platforms Using a Deep Learning Transformer-Based Model

Youssef, B. B., Ismail, M. M. B., & Bchir, O. (2024) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/978-1-6684-3795-7.ch001 · Cited by 2

Detection of Cyberbullying in Social Media to Control Users' Mental Health Issues Using Recurrent Neural Network Architectures

Shibly, F. H. A., Sharma, U., & Naleer, H. M. M. (2022) · Journal of Pharmaceutical Negative Results · doi:10.47750/pnr.2022.13.s03.072 · Cited by 2

Digital Resilience: A Review of Cutting-Edge Approaches to Cyberbullying Detection in the Social Media Landscape

Saim, M., & Rizvi, R. M. (2023) · DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI) · doi:10.1109/idicaiei58380.2023.10406622 · Cited by 2

Cyberbullying Messages Detection Using Machine Learning and Deep Learning

Mutar, J. R. (2024) · International Journal of Advances in Scientific Research and Engineering · doi:10.31695/ijasre.2024.3.3 · Cited by 2

Spotted Hyena Optimizer with Deep Learning Driven Cybersecurity for Social Networks

Hilal, A. M., Hashim, A. H. A., Mohamed, H. G., Alharbi, L. A., Nour, M. K., Mohamed, A., Almasoud, A. S., & Motwakel, A. (2022) · Computer Systems Science and Engineering · doi:10.32604/csse.2023.031181 · Cited by 2

Word embedding for detecting cyberbullying based on recurrent neural networks

Shaker, N. H., & Dhannoon, B. N. (2023) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v13.i1.pp500-508 · Cited by 2

A Chinese Cyberbullying Detection Model based on NEZHA Model and Res-BILSTM

Wang, D., & Liang, X. (2023) · International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) · doi:10.1109/iciibms60103.2023.10347756 · Cited by 1

Analyzing the Performance of Machine Learning and Deep Learning Models in Detecting Cyberbullying Comments

Saim, M., Rizvi, R. M., & Khan, M. K. (2023) · International Conference on Recent Advances in Science and Engineering Technology (ICRASET) · doi:10.1109/icraset59632.2023.10419938 · Cited by 1

Automatic cyberbullying user profile detection using voice features: a hybrid deep learning approach

Jaiswal, T., & Attri, V. K. (2025) · Information Security Journal A Global Perspective · doi:10.1080/19393555.2025.2543456 · Cited by 1

Campus Abnormal Behavior Detection with a Spatio-Temporal Fusion–Temporal Difference Network

Wei, F., Jiao, Y., Wang, N., Zheng, K., Shi, G., Yang, M., & We, Z. (2025) · Electronics · doi:10.3390/electronics14214221 · Cited by 1

TORA: Topic-based rule affinity for content moderation in social media communities

Wang, K., Fu, Z., Xin, W., Hanson, K., & Zhou, L. (2026) · Decision Support Systems · doi:10.1016/j.dss.2026.114750 · Cited by 1

An Efficacy Comparison of Supervised Machine Learning Classifiers for Cyberbullying Detection and Prediction

Javed, N., Ahmed, T., & Faisal, M. (2024) · International Journal of Bullying Prevention · doi:10.1007/s42380-024-00282-1 · Cited by 1

Assessing Reproducibility and Accessibility in Hate Speech and Fake News Detection Datasets: A Literature Review (2023-2024)

Đurić, A., Havzi, S., Nikolić, D., & Stefanović, D. (2025) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh64129.2025.10959261 · Cited by 1

Natural language processing and cellular automata based fine-tuned deep learning model for cyberbullying detection

Khot, P. S., Gurav, U., Pujari, J., & Naik, U. (2026) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2026.111208 · Cited by 1

From detection to detoxification: Challenges and solutions for fake news and cyberbullying language governance in the era of large language models

Ahmad, W., & Hongsong, C. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.115115 · Cited by 1

A hybrid machine learning model for analyzing economic factors and classifying target markets for saffron export

Bohlol, P., & Majidian, M. (2026) · Array · doi:10.1016/j.array.2026.101087 · Cited by 1

Word-level and phrase-level strategies for figurative text identification

Yang, Q., Yu, L., Tian, S., & Song, J. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12233-3 · Cited by 1

Bullyspoiler: Detect and Block Cyberbullying Tweet and Bully using Deep Learning

Soundararajan, K., Pathmapriya, S., Rajashree, R., & Sujitha, J. M. J. (2022) · Irish Interdisciplinary Journal of Science & Research · doi:10.46759/iijsr.2022.6209 · Cited by 1

Unmasking Depression via Attention-modulated Text Analysis using Deep Learning

Sanga, P., Singh, J., & Priyadarshi, P. (2023) · International Conference on Communication, Security and Artificial Intelligence (ICCSAI) · doi:10.1109/iccsai59793.2023.10421176 · Cited by 1

Revealing Online Threats Through Leveraging RNN Models for Advanced Cyberbullying Detection

Rachidi, R., Errami, M., Ouassil, M. A., Jebbari, M., Cherradi, B., & Silkan, H. (2024) · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · doi:10.1109/iraset60544.2024.10548957 · Cited by 1

An Analysis of Cyberbullying in Text Data using Deep Learning Algorithms

Dharani, M. K. (2024) · Communications on Applied Nonlinear Analysis · doi:10.52783/cana.v31.731 · Cited by 1

Integrating BERT and RESNET50V2 for Multimodal Cyberbullying Detection*

Musyoka, I., Wandeto, J., & Kituku, B. (2024) · International Conference on Intelligent Computing in Data Sciences (ICDS) · doi:10.1109/icds62089.2024.10756337 · Cited by 1

Harnessing RNN for Enhanced Hate Speech Detection in Social Media

Rajani, C., Srinadh, T., Chand, K., Kumar, B. A., Sreenivasu, S. V. N., & Venkatareddy, D. (2024) · International Conference on Integrated Intelligence and Communication Systems (ICIICS) · doi:10.1109/iciics63763.2024.10859351 · Cited by 1

Cyberbullying Detection and Severity Classification Using Bi-LSTM

Devi, K. N., Rajasekar, V., Jayanthi, P., Balasubramani, K., Kandasamy, K., & Gowrisankar, K. (2024) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces63552.2024.10859875 · Cited by 1

Deep Learning Techniques for Cyber Bullying Detection in Social Networks

Selvi, V., Rappai, S., Kalpana, D. Y., Sabaresan, V., Hegde, N. P., & Sathya, V. (2025) · International Conference on Automation and Computation (AUTOCOM) · doi:10.1109/autocom64127.2025.10957657 · Cited by 1

A comparative study of deep learning methods for cyberbullying detection

Kim-Ngan, D. T., Thanh-Thuy, N. T., & Mai, L. (2025) · The University of Danang - Journal of Science and Technology · doi:10.31130/ud-jst.2025.23(6a).257e · Cited by 1

Video object segmentation for automatic image annotation of ethernet connectors with environment mapping and 3D projection

Dantas, M. S. M., Dreyer, P., Bezerra, D., Reis, G. A. D. J., de Souza, R. G., Lins, S., Kelner, J., & Sadok, D. F. H. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13128-z · Cited by 1

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

Abusive Words Detection on Reddit Comments Using Machine Learning Algorithms

Madhurima, S., Ajith, K., Swathy, V. S., & Prathap, B. R. (2024) · International Conference on Device Intelligence, Computing and Communication Technologies (DICCT) · doi:10.1109/dicct61038.2024.10532806 · Cited by 1

Glowworm Optimization with Deep Learning Enabled Cybersecurity in Social Networks

Dutta, A. K., Qureshi, B., Albagory, Y. A., Alsanea, M., Abulfaraj, A. W., & Sait, A. R. W. (2022) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2022.027500

Comparative Evaluation on Effect of ELMo in Combination with Machine Learning, and Ensemble Models

Yazdizadeh, T. (2022) · doi:10.22215/etd/2022-15230

Textai2.0 (Psych): A Novel, Robust, and Generalized Cross-Domain Depression Detection Using Explainable Attention-Enabled Ensemble-Based TransformersPreprint

Singh, J., Khanna, N. N., Laird, J. R., Rathore, V., Agarwal, V., Ahluwalia, P., Singh, N., Fouda, M. M., Saba, L., & Suri, J. S. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4521454

Artificial Intelligence in Detecting Cyberbullying

Omran, E. (2023) · Journal of Advances in Artificial Intelligence · doi:10.18178/jaai.2023.1.3.129-140

Cyberbullying Detection Based on GECC-BiGRU

Li, X., Zhou, H., & Cui, C. (2023) · International Conference on Intelligent Management and Software Engineering (IMSE) · doi:10.1109/imse61332.2023.00042

Detecting Cyberbullying attacks in the Social media platform using the SVM method

-, A. S., & Fathima, G. (2024) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2024.v06i03.21431

An Ai Chatbot to Detect and Mitigate Anti-Lgbtq+ Cyberbullying on Social Networking SitesPreprint

Wood, K., Danso, S., & Peoples, C. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4879760

Study of Deep Learning Techniques for Real-Time Online censorship using Comment Toxicity Detection

Sugandh, S., Shewalkar, A., Singh, A. K., Attarde, S., & Jakhete, S. A. (2024) · MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon) · doi:10.1109/mitadtsocicon60330.2024.10575395

VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation

Wang, M., Burken, C. B.-V., Sun, N., Kermanshahi, S. K., Zhang, Y., & Hu, J. (2024) · IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai59869.2024.00271

Ensemble based Satin Bower Bird Algorithms for Cyberbullying Detection

Gnanabaskaran, A. G., Kavinilavu, S., Kowshika, V. L., Logesh, A. S., & Nivitha, K. (2024) · International Conference on Knowledge Engineering and Communication Systems (ICKECS) · doi:10.1109/ickecs61492.2024.10617074

Social Media Hate Speech Detection Using Machine Learning Algorithms: Comparative Study

Dharani, P., Bagade, N., Nittala, S., Konkala, S., & Sasidhar, B. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-8031-0_92

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

Deep Learning Approach for Multi-Label Detection of Abusive Bangla Social Media Comments

Sunny, S., Ahmed, D. R., Habib, M. A., Kabir, S. T., Masud, M. A. A., & Mansoor, N. (2024) · doi:10.1109/icict64387.2024.10839705

Cyberbullying Detection on Twitter using Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU)

Amalia, N. W. F., & Setiawan, E. B. (2023) · International Conference on Artificial Intelligence, Robotics, Signal and Image Processing (AIRoSIP) · doi:10.1109/airosip58759.2023.10873879

Detecting Cyberbullying in Visual Content: A Large Vision-Language Model Approach

Mu, J., Cong, D., Qin, H., Ajay, I., Guo, K., Vishwamitra, N., & Hu, H. (2024) · International Conference on Machine Learning and Applications · doi:10.1109/icmla61862.2024.00257

A GRU-Driven Machine Learning Model for Detecting Cyberbullying on Twitter

Saraswathi, P., N., J., Prabha, M., & Saranya, R. (2024) · International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) · doi:10.1109/icses63760.2024.10910913

Cyberbullying Detection using Deep Learning Algorithms

Devi, K. N., Jayanthi, P., Rajasekar, V., Rathinasamy, R., Dhandapani, P., & Rasil Risam, F. (2025) · International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) · doi:10.1109/idciot64235.2025.10915097

DEALING WITH CYBERBULLYING IN INTERNATIONAL SCHOOLS IN MALAYSIA: THE ROLE OF SCHOOL LEADERS

Verlarde, J. M., & Vasodavan, V. (2024) · Malaysian Online Journal of Educational Management · doi:10.22452/mojem.vol12no2.5

Optimizing Learning Rates and Feature Expansion with FastText in Hybrid CNN-BiGRU for Indonesian Cyberbullying Detection on X

Pabian, R., & Setiawan, E. B. (2025) · International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS) · doi:10.1109/icadeis65852.2025.10933150

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

An Efficient Deep Learning‐Based Framework for Predicting Cyber Violence in Social Networks

Fathabad, Y. F., Balafar, M. A., Oskouei, A. G., & Koohi, K. (2025) · Complexity · doi:10.1155/cplx/2750326

Identification of social media cyberbullying with the aid of machine learning

Elankavi, R., Geethavani, B., Meghana, S. C., Rekha, V., Priya, J. S., & Lookmaan, K. M. (2024) · International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET) · doi:10.1109/i3ceet61722.2024.10993773

Safe Cyber Watch: Cyber Bully Alert and Parental Advisory System

Varghese, R., & Ali, M. (2025) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-031-82031-1_30

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

Cyberbullying Detection on Social Media using a Hybrid Machine Learning Model

Priyadharsini, P. A., & Geetha, R. (2025) · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) · doi:10.1109/rmkmate64874.2025.11042815 · Cited by 1

Review of State-of-the-Art Literature on Learning Techniques for Cyberthreat Detection on Online Social Media Networks

Swetha, C. V., Shaji, S., & Kumar, S. S. (2025) · Journal of Engineering Science and Technology Review · doi:10.25103/jestr.183.15

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 in Assamese Social Media: A Comparative Study of BiGRU and CNN Models

Dutta, S., Chutia, T., & Baruah, N. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-5010-1_5

Enhancing Reliability in Cybercrime Detection using Intelligent Learning Models for Ensuring Trustworthy Social Networks

Wasid, M., Amer, A. Y. A., Ahmad, S., & Mustafa, J. (2025) · International Journal of Reliability Quality and Safety Engineering · doi:10.1142/s021853932550038x

Unmasking Cyberbullying Through NLP-Driven Detection in Contemporary Social Media

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