Cyber-aggression, Cyberbullying, and Cyber-grooming: A Survey and Research Challenges

Cyberbullying: Its nature and impact in secondary school pupils

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

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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

Deep Learning for Hate Speech Detection in Tweets

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Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2017)

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Abusive Language Detection in Online User Content

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Hate Speech Detection with Comment Embeddings

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Detecting Offensive Language in Social Media to Protect Adolescent Online Safety

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Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network

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Ex Machina: Personal Attacks Seen at Scale

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Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making

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Using Convolutional Neural Networks to Classify Hate-Speech

Gambäck, B., & Sikdar, U. K. (2017) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w17-3013 · Cited by 540 · 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

A Lexicon-based Approach for Hate Speech Detection

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Understanding Abuse: A Typology of Abusive Language Detection Subtasks

Waseem, Z., Davidson, T., Warmsley, D., & Weber, I. G. (2017) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w17-3012 · Cited by 486 · see citing works

Hate Speech on Twitter: A Pragmatic Approach to Collect Hateful and Offensive Expressions and Perform Hate Speech Detection

Watanabe, H., Bouazizi, M., & Ohtsuki, T. O. (2018) · IEEE Access · doi:10.1109/access.2018.2806394 · Cited by 470 · see citing works

Using Machine Learning to Detect Cyberbullying

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Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying

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Hate Speech Dataset from a White Supremacy Forum

de Gibert, O., Pérez, N., Pablos, A. G., & Cuadros, M. (2018) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w18-5102 · Cited by 428 · see citing works

Effective hate-speech detection in Twitter data using recurrent neural networks

Pitsilis, G., Ramampiaro, H., & Helge Langseth, A. (2018) · Applied Intelligence · doi:10.1007/s10489-018-1242-y · Cited by 402 · see citing works

Us and them: identifying cyber hate on Twitter across multiple protected characteristics

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Cyber-aggression: definition and concept of cyberbullying

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Mean Birds

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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 · see citing works

One-step and Two-step Classification for Abusive Language Detection on Twitter

Park, J. H., & Fung, P. (2017) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w17-3006 · Cited by 383 · see citing works

A Measurement Study of Hate Speech in Social Media

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Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee CrisisPreprint

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Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network

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Abusive Language Detection on Arabic Social Media

Mubarak, H., Darwish, K. M., & Magdy, W. (2017) · doi:10.18653/v1/w17-3008 · Cited by 301 · see citing works

Detecting Hate Speech in Social Media

Malmasi, S., & Zampieri, M. (2017) · doi:10.26615/978-954-452-049-6_062 · Cited by 289 · see citing works

Offensive Language Detection Using Multi-level Classification

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Detecting offensive tweets via topical feature discovery over a large scale twitter corpus

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Challenges in discriminating profanity from hate speech

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Characterizing and Detecting Hateful Users on Twitter

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Approaches to automated detection of cyberbullying: A survey

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Challenges for Toxic Comment Classification: An In-Depth Error Analysis

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Cyberbullying assessment instruments: A systematic review

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Detecting Online Hate Speech Using Context Aware Models

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Proceedings of the Australasian Language Technology Association Workshop 2017

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Hate speech detection in the Indonesian language: A dataset and preliminary study

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A Large Labeled Corpus for Online Harassment Research

Golbeck, J., Ashktorab, Z., Banjo, R. O., Berlinger, A., Bhagwan, S., Buntain, C., Cheakalos, P., Geller, A. A., Gergory, Q., Gnanasekaran, R. K., et al. (2017) · ACM Web Science Conference (WebSci) · doi:10.1145/3091478.3091509 · Cited by 203 · see citing works

Cyberbullying or Cyber Aggression?: A Review of Existing Definitions of Cyber-Based Peer-to-Peer Aggression

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Do Characters Abuse More Than Words?

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When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data

Jha, A., & Mamidi, R. (2017) · Workshop on Natural Language Processing and Computational Social Science (NLP+CSS) · doi:10.18653/v1/w17-2902 · Cited by 171 · see citing works

Entrapping the innocent: Toward a theory of child sexual predators’ luring communication

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Cyberhate: A review and content analysis of intervention strategies

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A Web of Hate: Tackling Hateful Speech in Online Social Spaces

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Detecting Offensive Language in Tweets Using Deep LearningPreprint

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Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer

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Deep Learning for User Comment Moderation

Pavlopoulos, J., Malakasiotis, P., & Androutsopoulos, I. (2017) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w17-3004 · Cited by 124 · see citing works

A Dataset and Preliminaries Study for Abusive Language Detection in Indonesian Social Media

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A Multilingual System for Cyberbullying Detection: Arabic Content Detection using Machine Learning

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Learning to Identify Internet Sexual Predation

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The Effects of User Features on Twitter Hate Speech Detection

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Comparative Studies of Detecting Abusive Language on Twitter

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Dimensions of Abusive Language on Twitter

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Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification

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Social Network Hate Speech Detection for Amharic Language

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Detecting child grooming behaviour patterns on social media

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Cross-Domain Detection of Abusive Language Online

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Reliability of human annotation of semantic roles in noisy text

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Hate Speech Annotation: Analysis of an Italian Twitter Corpus

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Ensemble Method for Indonesian Twitter Hate Speech Detection

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Exploring high-level features for detecting cyberpedophilia

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The Social World of Content Abusers in Community Question Answering

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Automatic analysis and identification of verbal aggression and abusive behaviors for online social games

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Cyberbullying Detection using Time Series Modeling

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Rephrasing Profanity in Chinese Text

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Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene

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Sustainable cyberbullying detection with category-maximized relevance of harmful phrases and double-filtered automatic optimization

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Technology Solutions to Combat Online Harassment

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Detecting Nastiness in Social Media

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Hate Speech Detection on Twitter: Feature Engineering v.s. Feature Selection

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Hierarchical CVAE for Fine-Grained Hate Speech Classification

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

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A review of cyberbullying detection: An overview

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Grooming detection using fuzzy-rough feature selection and text classification

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Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)

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"Like Sheep Among Wolves": Characterizing Hateful Users on TwitterPreprint

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Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection

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Mitigating Online Sexual Grooming Cybercrime on Social Media Using Machine Learning: A Desktop Survey

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The Linguistic Ideologies of Deep Abusive Language Classification

Castelle, M. (2018) · Workshop on Abusive Language Online (ALW) · doi:10.18653/v1/w18-5120 · Cited by 31 · see citing works

Technical Mapping of the Grooming Anatomy Using Machine Learning Paradigms: An Information Security Approach

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Detecting predatory behavior in game chats

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The Automated Detection of Racist Discourse in Dutch Social Media

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Detection of Cyber Grooming in Online Conversation

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Your Post has been Removed

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Mining Offensive Language on Social Media

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Forecasting the presence and intensity of hostility on Instagram using linguistic and social featuresPreprint

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Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference

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Detecting sexual predators in chats using behavioral features and imbalanced learning

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Improving Moderation of Online Discussions via Interpretable Neural Models

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Web objectionable text content detection using topic modeling technique

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Detecting online child grooming conversation

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Combining psycho-linguistic, content-based and chat-based features to detect predation in chatrooms

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Recognizing Explicit and Implicit Hate Speech Using a Weakly Supervised Two-path Bootstrapping ApproachPreprint

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Proceedings of the 13th Conference on Natural Language Processing

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Automatic Detection of Verbal Aggression for Russian and American Imageboards

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Detecting the Hate Code on Social MediaPreprint

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Automatic hate speech detection in online contents using latent semantic analysis

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Harassment detection: a benchmark on the #HackHarassment datasetPreprint

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Detection of Offensive Tweets: A Comparative Study

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A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection

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Session-based cyberbullying detection in social media: A survey

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Online grooming detection: A comprehensive survey of child exploitation in chat logs

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Tricky vs. Transparent: Towards an Ecologically Valid and Safe Approach for Evaluating Online Safety Nudges for Teens

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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

Text Mining-based Social-Psychological Vulnerability Analysis of Potential Victims To Cybergrooming: Insights and Lessons Learned

Guo, Z., Wang, P., Cho, J.-H., & Huang, L. (2023) · Companion Proceedings of the ACM Web Conference 2023 · doi:10.1145/3543873.3587636 · Cited by 6 · see citing works

From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances

Zhang, X., Akter, M., An, H., Liu, M., Zhang, Q., Huang, L., Cho, J.-H., J. Wisniewski, P., & Lee, S. W. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790949

The neurobiology of categorization

Ashby, F. G., & Crossley, M. J. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199549221.003.05 · Cited by 3 · see citing works

Ethopharmacological studies of anxiolytics and aggression

Olivier, B., Mos, J., & Miczek, K. A. (1991) · European Neuropsychopharmacology · doi:10.1016/0924-977x(91)90709-4 · Cited by 38 · see citing works

Two categorization patterns in idiom semantics

Gogichev, C. G. (2016) · Pragmatics & Cognition · doi:10.1075/pc.23.2.08gor · Cited by 1 · see citing works

On the Reasons for Cognitive Differences During Categorization

Guang-ming, Z. (2009) · Science and Technology of West China

Is one object enough? Diagnosticity of single objects for fast scene categorization

Wiesmann, S. L., & Võ, M. L. ‐. (2022) · Journal of Vision · doi:10.1167/jov.22.14.4146 · Cited by 1 · see citing works