Cyberbullying in text content detection: an analytical review

IEEE Access

(2023) · IEEE Access · doi:10.1109/access.6287639 · Cited by 3,358 · see citing works

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

Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter

Talat, Z., & Hovy, D. (2016) · North American Chapter of the Association for Computational Linguistics · doi:10.18653/v1/n16-2013 · Cited by 1,919 · see citing works

Bullying and the peer group: A review

Salmivalli, C. (2009) · Aggression and Violent Behavior · doi:10.1016/j.avb.2009.08.007 · Cited by 1,767 · see citing works

Discriminant Analysis and Statistical Pattern Recognition

Sapatinas, T. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2005.00368_10.x · Cited by 955 · see citing works

Modeling the Detection of Textual Cyberbullying

Dinakar, K., Reichart, R., & Lieberman, H. A. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i3.14209 · Cited by 517 · see citing works

IEEE Transactions on Affective Computing

(2026) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.5165369 · Cited by 494 · see citing works

Cyberbullying: Review of an Old Problem Gone Viral

Aboujaoude, E., Savage, M. W., Starcevic, V., & Salame, W. O. (2015) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2015.04.011 · Cited by 465 · see citing works

Automatic detection of cyberbullying in social media text

Hee, C. V., Jacobs, G., Emmery, C., Desmet, B., Lefever, E., Verhoeven, B., Pauw, G. D., Daelemans, W. M. P., & Hoste, V. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203794 · Cited by 403 · see citing works

Mean Birds

Chatzakou, D., Kourtellis, N., Blackburn, J., Cristofaro, E. D., Stringhini, G., & Vakali, A. I. (2017) · ACM Web Science Conference (WebSci) · doi:10.1145/3091478.3091487 · Cited by 393 · see citing works

Cyberbullying on social network sites. An experimental study into bystanders’ behavioural intentions to help the victim or reinforce the bully

Bastiaensens, S., Vandebosch, H., Poels, K., Cleemput, K. V., DeSmet, A., & Bourdeaudhuij, I. D. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.036 · Cited by 369 · see citing works

Approaches to automated detection of cyberbullying: A survey

Salawu, S., He, Y., & Lumsden, J. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2761757 · Cited by 258 · see citing works

Analyzing Labeled Cyberbullying Incidents on the Instagram Social Network

Hosseinmardi, H., Mattson, S. A., Rafiq, R. I., Han, R. Y., Lv, Q., & Mishra, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-27433-1_4 · Cited by 257 · see citing works

Flaming in electronic communication

Alonzo, M., & Aiken, M. W. (2002) · Decision Support Systems · doi:10.1016/s0167-9236(02)00190-2 · Cited by 255 · 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

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

Representations of 'trolls' in mass media communication: a review of media-texts and moral panics relating to 'internet trolling'

Bishop, J. (2013) · International Journal of Web Based Communities · doi:10.1504/ijwbc.2014.058384 · Cited by 203 · see citing works

Cyberbullying: A Review of the Literature

E. Notar, C., Padgett, S., & Roden, J. (2013) · Universal Journal of Educational Research · doi:10.13189/ujer.2013.010101 · Cited by 186 · cited 2× · see citing works

Cyberbullying detection on twitter using Big Five and Dark Triad features

Balakrishnan, V., Khan, S., Fernandez, T., & Arabnia, H. R. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.01.024 · Cited by 165 · see citing works

Cyberbullying: an increasing challenge for schools

von Marées, N., & Petermann, F. (2012) · School Psychology International · doi:10.1177/0143034312445241 · Cited by 152 · 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

Cyberbullying detection: Utilizing social media features

Bozyiğit, A., Utku, S., & Nasibov, E. N. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115001 · Cited by 131 · see citing works

Cyberbullying severity detection: A machine learning approach

Talpur, B. A., & O’Sullivan, D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240924 · Cited by 122 · see citing works

Detecting and visualizing hate speech in social media: A cyber Watchdog for surveillance

Modha, S., Majumder, P., Mandl, T., & Mandalia, C. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113725 · Cited by 115 · see citing works

Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification

Natarajan, Y., Chang, V. I. C., Gobinathan, B., Pinagapani, A., Kannan, S., Dhiman, G., & Rajan, A. R. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107186 · Cited by 104 · 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

Multimodal cyberbullying detection using capsule network with dynamic routing and deep convolutional neural network

Kumar, A., & Sachdeva, N. (2022) · Multimedia Systems · doi:10.1007/s00530-020-00747-5 · Cited by 97 · 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

Careful what you share in six seconds

Rafiq, R. I., Hosseinmardi, H., Han, R. Y., Lv, Q., Mishra, S., & Mattson, S. A. (2015) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/2808797.2809381 · Cited by 92 · see citing works

Machine learning and semantic analysis of in-game chat for cyberbullying

Murnion, S. D., Buchanan, W. J., Smales, A., & Russell, G. (2018) · Computers & Security · doi:10.1016/j.cose.2018.02.016 · Cited by 89 · 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

When the Timeline Meets the Pipeline: A Survey on Automated Cyberbullying Detection

Elsafoury, F., Katsigiannis, S., Pervez, Z., & Ramzan, N. (2021) · IEEE Access · doi:10.1109/access.2021.3098979 · Cited by 80 · see citing works

Cyberbullying Detection in Social Networks Using Bi-GRU with Self-Attention Mechanism

Fang, Y., Yang, S., Zhao, B., & Huang, C. (2021) · Information · doi:10.3390/info12040171 · Cited by 74 · see citing works

See No Evil, Hear No Evil

Soni, D., & Singh, V. K. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274433 · Cited by 74 · see citing works

Multilingual Cyberbullying Detection System

Pawar, R., & Raje, R. R. (2019) · IEEE International Conference on Electro Information Technology · doi:10.1109/eit.2019.8833846 · Cited by 74 · see citing works

A multi-platform dataset for detecting cyberbullying in social media

Van Bruwaene, D., Huang, Q., & Inkpen, D. (2020) · Language Resources and Evaluation · doi:10.1007/s10579-020-09488-3 · Cited by 74 · see citing works

The Bad Boys and Girls of Cyberspace

Fichman, P., & Sanfilippo, M. R. (2014) · Social Science Computer Review · doi:10.1177/0894439314533169 · Cited by 73 · see citing works

Revisiting cyberbullying in schools using the quality circle approach

Paul, S., Smith, P. K., & Blumberg, H. H. (2012) · School Psychology International · doi:10.1177/0143034312445243 · Cited by 70 · see citing works

Multilingual cyberbullying detection system: Detecting cyberbullying in Arabic content

Haidar, B. R., Chamoun, M., & Serhrouchni, A. (2017) · Cyber Security in Networking Conference (CSNet) · doi:10.1109/csnet.2017.8242005 · Cited by 69 · see citing works

Gender disparity in pediatrics: a review of the current literature

Piccini, P., Montagnani, C., & de Martino, M. (2018) · The Italian Journal of Pediatrics/Italian journal of pediatrics · doi:10.1186/s13052-017-0437-x · Cited by 57 · see citing works

A decade of research on patterns and architectures for IoT security

Rajmohan, T., Nguyen, P. H., & Ferry, N. (2022) · Cybersecurity · doi:10.1186/s42400-021-00104-7 · Cited by 57 · see citing works

Traditional bullying and cyberbullying: Differences in emotional problems, and personality. Are cyberbullies more Machiavellians?

Resett, S. A., & Gámez‐Guadix, M. (2017) · Journal of Adolescence · doi:10.1016/j.adolescence.2017.09.013 · Cited by 54 · see citing works

Online harassment: towards a definition of cyberstalking

Bocij, P., & McFarlane, L. (2002) · Aston Publications Explorer (Aston University) · Cited by 52 · see citing works

CYBERBULLYING: INTERVENTION AND PREVENTION STRATEGIES

Jobe, P. (2013) · Cited by 51 · see citing works

Multi-modal cyberbullying detection on social networks

Wang, K., Xiong, Q., Wu, C., Gao, M., & Yu, Y. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9206663 · Cited by 48 · see citing works

Doxing: What Adolescents Look for and Their Intentions

Chen, M., Cheung, A. S. Y., & Chan, K. L. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16020218 · Cited by 47 · see citing works

A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research

Rezvan, M., Shekarpour, S., Balasuriya, L., Thirunarayan, K., Shalin, V. L., & Sheth, A. (2018) · ACM Web Science Conference (WebSci) · doi:10.1145/3201064.3201103 · Cited by 46 · see citing works

Conspecific aggression influences food carrying: Studies on a wild population of Rattus norvegicus

Whishaw, I. Q., & Whishaw, G. E. (1996) · Aggressive Behavior · doi:10.1002/(sici)1098-2337(1996)22:1 · Cited by 45 · see citing works

"They basically like destroyed the school one day"

Singh, V. K., Radford, M. L., Huang, Q., & Furrer, S. (2017) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2998181.2998279 · Cited by 41 · see citing works

A review of cyberbullying detection: An overview

Nadali, S., Murad, M. A. A., Sharef, N. M., Mustapha, A., & Shojaee, S. (2013) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2013.6920758 · Cited by 40 · see citing works

Let's Gang Up on Cyberbullying

Lieberman, H. A., Dinakar, K., & Jones, B. (2011) · Computer · doi:10.1109/mc.2011.286 · Cited by 33 · see citing works

Cyberbullying during the COVID-19 pandemic

Utemissova, G. U., Summers, D., & Nikolaevna, V. N. (2021) · Global Journal of Guidance and Counseling in Schools Current Perspectives · doi:10.18844/gjgc.v11i2.5471 · Cited by 32 · see citing works

Why Deep Neural Networks: A Possible Theoretical Explanation

Baral, C. R., Fuentes, O., & Крейнович, В. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-61753-4_1 · Cited by 28 · see citing works

Types of Cyberbullying

Bauman, S. A. (2015) · doi:10.1002/9781119221685.ch4 · Cited by 28 · see citing works

Deep Learning Cyberbullying Detection Using Stacked Embbedings Approach

Mahlangu, T., & Tu, C. (2019) · International Conference on Soft Computing & Machine Intelligence (ISCMI) · doi:10.1109/iscmi47871.2019.9004292 · Cited by 28 · see citing works

Doxing Victimization and Emotional Problems among Secondary School Students in Hong Kong

Chen, Q., Chan, K. L., & Cheung, A. S. Y. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15122665 · Cited by 25 · see citing works

AUTOMATIC DETECTION OF CYBERBULLYING IN FORMSPRING.ME, MYSPACE AND YOUTUBE SOCIAL NETWORKS

Acı, Ç. İ., Çürük, E., & Eşsiz, E. S. (2019) · Turkish Journal of Engineering · doi:10.31127/tuje.554417 · Cited by 21 · see citing works

The challenge of cyberbullying and its automatic detection in Arabic text

Alduailej, A. H., & Khan, M. B. (2017) · International Conference on Computer and Applications (ICCA) · doi:10.1109/comapp.2017.8079791 · Cited by 20 · see citing works

Identification and Classification of Cybercrimes using Text Mining Technique

Andleeb, S., Ahmed, R. J., Ahmed, Z., & Kanwal, M. (2019) · International Conference on Frontiers of Information Technology (FIT) · doi:10.1109/fit47737.2019.00050 · Cited by 19 · see citing works

Automated Detection of Doxing on Twitter

Karimi, Y., Squicciarini, A., & Wilson, S. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555167 · Cited by 18 · see citing works

An Overview of Trolling Behavior in Online Spaces and Gaming Context

Komaç, G., & Çağıltay, K. (2019) · International Informatics and Software Engineering Conference (IISEC) · doi:10.1109/ubmyk48245.2019.8965625 · Cited by 17 · see citing works

Systematic Review of Internet of Things Security

Amiruddin, A., Ratna, A. A. P., & Sari, R. F. (2022) · International Journal of Communication Networks and Information Security (IJCNIS) · doi:10.17762/ijcnis.v11i2.3533 · Cited by 17 · see citing works

Cyberbullying Legislation: Why Education is Preferable to RegulationPreprint

Szoka, B. M., & Thierer, A. D. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1422577 · Cited by 16 · see citing works

Using Twitter to Detect Hate Crimes and Their Motivations: The HateMotiv Corpus

Alnazzawi, N. (2022) · Data · doi:10.3390/data7060069 · Cited by 14 · see citing works

Deep Learning based Methods for Cyberbullying Detection on Social Media

Singh, N. K., Singh, P., & Chand, S. (2022) · International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) · doi:10.1109/icccis56430.2022.10037729 · Cited by 14 · see citing works

Effects of Feature Extraction and Classification Methods on Cyberbully Detection

SARAÇ, E., & Özel, S. A. (2016) · Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi · doi:10.19113/sdufbed.20964 · Cited by 11 · see citing works

Computational Stylometry and Machine Learning for Gender and Age Detection in Cyberbullying Texts

Pascucci, A., Masucci, V., & Monti, J. (2019) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw.2019.8925101 · Cited by 10 · see citing works

A framework to detect cybercrime in the virtual environment

Thangiah, M., Basri, S. B., & Sulaiman, S. B. (2012) · doi:10.1109/iccisci.2012.6297307 · Cited by 7 · see citing works

Cyberbullying Among Malaysian Children Based on Research Evidence

Yusuf, S., Hassan, M. S., & Ibrahim, A. M. (2018) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-5225-7492-7.ch011 · Cited by 5 · see citing works

Cyberbullying and the law: Parameters for effective interventions?

Butler, D. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811423-0.00004-3 · Cited by 5 · see citing works

Problem behaviours, traditional bullying and cyberbullying among adolescents: longitudinal analyses

(2013) · Routledge eBooks · doi:10.4324/9781315656694-21 · Cited by 5 · see citing works

Optimizing epileptic seizure recognition performance with feature scaling and dropout layers

Omar, A., & El‐Hafeez, T. A. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-09204-6 · Cited by 203 · see citing works

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 · see citing works

Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique

Koshiry, A. M. E., Eliwa, E. H. I., El‐Hafeez, T. A., & Khairy, M. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.1961 · Cited by 44 · see citing works

Shielding against online harm: A survey on text analysis to prevent cyberbullying

Mishra, A., Sinha, S., & George, C. P. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108241 · Cited by 13 · see citing works

School Staff Strategies for Identifying, Dealing with and Preventing Cyberbullying Among Swedish Primary School Pupils

Masoumi, D., Bourbour, M., Edling, S., Gill, P. E., & Francia, G. (2024) · Computers in the Schools · doi:10.1080/07380569.2024.2416426 · Cited by 12 · see citing works

A Systematic Literature Review on Cyberbullying in Social Media: Taxonomy, Detection Approaches, Datasets, And Future Research Directions

Sahana, E. A. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i10.8505 · Cited by 8 · see citing works

Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation

Yang, S., Du, Y., Du, S., Li, X., Chen, X., Li, Y., Xie, C., & Liu, J. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.129089 · Cited by 5 · see citing works

F-DenseCNN: feature-based dense convolutional neural networks and swift text word embeddings for enhanced hate speech prediction

Shilpashree, S., & Ashoka, D. V. (2024) · Social Network Analysis and Mining · doi:10.1007/s13278-024-01345-3 · Cited by 5 · see citing works

Leveraging deep learning to combat cyberbullying on social media

Vijayarani, M., Balamurugan, G., Govindan, R., & Sevak, S. (2025) · Industrial Psychiatry Journal · doi:10.4103/ipj.ipj_47_25 · Cited by 3 · see citing works

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms

Abbasi, I. A., Shoaib, M., Alshehri, M., & Aldawsari, M. F. (2025) · Scientific Reports · doi:10.1038/s41598-025-09091-y · Cited by 3 · see citing works

Capturing multiple emotions from conversational data using fine tuned transformers

Mudigonda, K. S. P., Bulusu, K., Sri, Y., Damera, A., & Kode, V. (2024) · International Journal of Computers and Applications · doi:10.1080/1206212x.2024.2420189 · Cited by 2 · see citing works

Selecting Opinion Leaders using Skyline Query (SOL-SQ): a new approach

Chebil, M., Tobji, M. A. B., Elmi, S., & Jallouli, R. (2025) · International Journal of Computers and Applications · doi:10.1080/1206212x.2025.2464554 · Cited by 2 · see citing works

Transdisciplinary Approach Using Ensemble Learning Model approach in Machine Learning Technology to Predict and Abort Cyber-Abuse Against Women

Selvaraj, V., & Karuppiah, S. (2023) · Transdisciplinary Journal of Engineering & Science · doi:10.22545/2023/00233 · Cited by 2 · see citing works

Unmasking Online Harassment: A Longitudinal Analysis of Cyberbullying by Gender

Masoumi, D., Bourbour, M., & Edling, S. (2025) · Ubiquity Proceedings · doi:10.5334/uproc.203

Cyberbullying in the Social Media Environment: Investigating Young Adults' Experiences in Malaysia

So’od, S. M. M., Ramamurthy, L., Nawi, N. S. M., Shafien, S., Latif, S. F. A., Don, Z. M., & Syahfutra, W. (2023) · Environment-Behaviour Proceedings Journal · doi:10.21834/e-bpj.v8i26.5161

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

Enhancing Cyberbullying Detection: A Multimodal Approach Leveraging Sentiment Analysis and N-gram Modeling

Barth, P. S., Ranga, K. B., & Singh, H. (2025) · Algorithms for intelligent systems · doi:10.1007/978-981-96-7473-2_42

A Novel Sentiment-Driven Approach to Improving Cyberbullying Detection Using Advanced NLP Models

Nagar, D. M., & Shekhawat, N. S. (2025) · Algorithms for intelligent systems · doi:10.1007/978-981-96-7473-2_15

Cyberbullying Identification on Multi-class English Dataset Using Ensemble Learning

Malik, A., & Dadure, P. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-3701-3_11

Aggression-Related Risk Factor Networks: Core Factors and Connectivity Across Aggression Trait LevelsPreprint

Liu, S., Li, C., Wang, K., Zhang, Y., Sha, Q., Tian, X., & Zhu, W. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6175179

Text and Audio-based Cyberbullying Detection on Social Media Platforms

Suganya, D., K, S. G. K., Sowmiya, T., Thirumurugan, N., & Vidhya, K. (2025) · International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) · doi:10.1109/icerect65215.2025.11379780

Hybrid transformer-based approaches for suicidal posts detection

Kboubi, F., & Chaïbi, A. H. (2026) · International Journal of Computers and Applications · doi:10.1080/1206212x.2026.2659937

Ancient book text detection algorithm based on a differentiable binarization network for intangible cultural heritage protection

Wang, F., & Lee, J. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-01562-z

Multimodal Deep Learning System for Predicting Cyberbullying Attacks in Social Media

Maragatham, T., Chandru Vignesh, C., & Raja, D., V (2025) · International Conference on Emerging Research in Computational Science (ICERCS) · doi:10.1109/icercs65898.2025.11580932

Stacking Ensemble vs IndoBERT for Indonesian Cyberbullying Detection

Justin, J., Howen, K., Wijaya, A., Jabar, B. A., & Halim, R. (2026) · International Conference on Information Management and Technology (ICIMTech) · doi:10.1109/icimtech202671078.2026.11699022

Cyberbullying Detection: A Review of the Literature

Nouas, S., & Boumahdi, F. (2024) · International Conference of the African Federation of Operational Research Societies (AFROS) · doi:10.1109/afros62115.2024.11037168

Cyberbullying Detection in Online Platforms: A Review Of NLP, Deep Learning and Semantic Approaches

., S., Goyat, D. S., & Saini, M. (2026) · Journal of Economics Finance and Management Studies · doi:10.47191/jefms/v9-i4-45

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 Systematic Literature Review on Cyberbullying in Social Media: Taxonomy, Detection Approaches, Datasets, And Future Research Directions

Sahana, E. A. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i10.8505 · Cited by 8 · see citing works

Shielding against online harm: A survey on text analysis to prevent cyberbullying

Mishra, A., Sinha, S., & George, C. P. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108241 · Cited by 13 · see citing works