mlsanityData to 7 Oct 2026

Tackling Online Abuse: A Survey of Automated Abuse Detection Methods

arXiv 1908.06024 ↗First posted 13 Aug 2019cs.CLcited by 33

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Abstract (arXiv)

Abuse on the Internet represents an important societal problem of our time. Millions of Internet users face harassment, racism, personal attacks, and other types of abuse on online platforms. The psychological effects of such abuse on individuals can be profound and lasting. Consequently, over the past few years, there has been a substantial research effort towards automated abuse detection in the field of natural language processing (NLP). In this paper, we present a comprehensive survey of the methods that have been proposed to date, thus providing a platform for further development of this area. We describe the existing datasets and review the computational approaches to abuse detection, analyzing their strengths and limitations. We discuss the main trends that emerge, highlight the challenges that remain, outline possible solutions, and propose guidelines for ethics and explainability

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Aug 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 8; 2023: 5; 2024: 7; 2025: 3; 2026: 3.

33 papers.

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  1. 2021Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotationscited by 306
  2. 2021What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpuscited by 79
  3. 2021Towards generalisable hate speech detection: a review on obstacles and solutionscited by 66
  4. 2021A systematic review of Hate Speech automatic detection using Natural Language Processingcited by 26
  5. 2021Ruddit: Norms of Offensiveness for English Reddit Commentscited by 26
  6. 2024MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversationscited by 21
  7. 2023MTTM: Metamorphic Testing for Textual Content Moderation Softwarecited by 20
  8. 2022Emotion Based Hate Speech Detection using Multimodal Learningcited by 18
  9. 2024Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technologycited by 17
  10. 2022HateCheckHIn: Evaluating Hindi Hate Speech Detection Modelscited by 15
  11. 2025Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variationscited by 12
  12. 2022Explainable Abuse Detection as Intent Classification and Slot Fillingcited by 11
21 more
  1. 2021Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotionscited by 9
  2. 2022Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detectioncited by 7
  3. 2024Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Fastercited by 7
  4. 2022Hidden behind the obvious: misleading keywords and implicitly abusive language on social mediacited by 6
  5. 2022Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbationscited by 5
  6. 2023Validating Multimedia Content Moderation Software via Semantic Fusioncited by 5
  7. 2022Rationale-Guided Few-Shot Classification to Detect Abusive Languagecited by 4
  8. 2024A Dataset for the Detection of Dehumanizing Languagecited by 4
  9. 2022Trigger Warnings: Bootstrapping a Violence Detector for FanFictioncited by 3
  10. 2023An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Softwarecited by 3
  11. 2021A Survey of Online Hate Speech through the Causal Lenscited by 2
  12. 2024Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challengescited by 2
  13. 2023Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Modelscited by 0
  14. 2023DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figurescited by 0
  15. 2024The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Contentcited by 0
  16. 2024A multitask learning framework for leveraging subjectivity of annotators to identify misogynycited by 0
  17. 2025Detoxify: A framework for abusive text transformation using LLMscited by 0
  18. 2025Metamorphic Testing for Audio Content Moderation Softwarecited by 0
  19. 2026Abusive music and song transformation using GenAI and LLMscited by 0
  20. 2026Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengalicited by 0
  21. 2026Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Interventioncited by 0