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SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

arXiv 2006.07235 ↗First posted 12 Jun 2020cs.CLcited by 138

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Abstract (arXiv)

We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020). The task involves three subtasks corresponding to the hierarchical taxonomy of the OLID schema (Zampieri et al., 2019a) from OffensEval 2019. The task featured five languages: English, Arabic, Danish, Greek, and Turkish for Subtask A. In addition, English also featured Subtasks B and C. OffensEval 2020 was one of the most popular tasks at SemEval-2020 attracting a large number of participants across all subtasks and also across all languages. A total of 528 teams signed up to participate in the task, 145 teams submitted systems during the evaluation period, and 70 submitted system description papers.

Key facts. Cited by 138 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jun 2020.

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Citing papers per year: 2021: 47; 2022: 29; 2023: 26; 2024: 13; 2025: 13; 2026: 10.

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  1. 2021Anticipating Safety Issues in E2E Conversational AI: Framework and Toolingcited by 77
  2. 2021Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreementcited by 71
  3. 2021Towards generalisable hate speech detection: a review on obstacles and solutionscited by 66
  4. 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
  5. 2021Text Detoxification using Large Pre-trained Neural Modelscited by 52
  6. 2022Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Modelscited by 51
  7. 2021A Primer on Pretrained Multilingual Language Modelscited by 49
  8. 2024CultureLLM: Incorporating Cultural Differences into Large Language Modelscited by 49
  9. 2021ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AIcited by 46
  10. 2021Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detectioncited by 45
  11. 2021Pre-Training BERT on Arabic Tweets: Practical Considerationscited by 39
  12. 2022Large-Scale Hate Speech Detection with Cross-Domain Transfercited by 39
38 more
  1. 2021Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Gocited by 32
  2. 2021MUDES: Multilingual Detection of Offensive Spanscited by 30
  3. 2021FBERT: A Neural Transformer for Identifying Offensive Contentcited by 30
  4. 2021Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathicited by 28
  5. 2023Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluationcited by 28
  6. 2021A systematic review of Hate Speech automatic detection using Natural Language Processingcited by 26
  7. 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Modelscited by 24
  8. 2022APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversationscited by 23
  9. 2021Multilingual Offensive Language Identification for Low-resource Languagescited by 22
  10. 2021BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Textcited by 22
  11. 2023Cross-Cultural Transfer Learning for Chinese Offensive Language Detectioncited by 21
  12. 2022DISARM: Detecting the Victims Targeted by Harmful Memescited by 20
  13. 2021Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detectioncited by 19
  14. 2023ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Textcited by 19
  15. 2021DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Textcited by 18
  16. 2022Emotion Based Hate Speech Detection using Multimodal Learningcited by 18
  17. 2023LAraBench: Benchmarking Arabic AI with Large Language Modelscited by 16
  18. 2022Emojis as Anchors to Detect Arabic Offensive Language and Hate Speechcited by 14
  19. 2022KOLD: Korean Offensive Language Datasetcited by 14
  20. 2024Towards Building a Robust Toxicity Predictorcited by 14
  21. 2021Empowering NGOs in Countering Online Hate Messagescited by 13
  22. 2022K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Commentcited by 13
  23. 2023ViHOS: Hate Speech Spans Detection for Vietnamesecited by 13
  24. 2021Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Languagecited by 12
  25. 2021SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identificationcited by 11
  26. 2023Model-Agnostic Meta-Learning for Multilingual Hate Speech Detectioncited by 11
  27. 2024Text Detoxification as Style Transfer in English and Hindicited by 11
  28. 2021ToxCCIn: Toxic Content Classification with Interpretabilitycited by 10
  29. 2021Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotionscited by 9
  30. 2025From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMscited by 9
  31. 2021Revisiting Contextual Toxicity Detection in Conversationscited by 8
  32. 2022Automated Identification of Toxic Code Reviews Using ToxiCRcited by 8
  33. 2022On The Robustness of Offensive Language Classifierscited by 8
  34. 2023Multilingual Content Moderation: A Case Study on Redditcited by 8
  35. 2021Sequence-to-Sequence Lexical Normalization with Multilingual Transformerscited by 7
  36. 2021WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spanscited by 6
  37. 2021Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labelingcited by 6
  38. 2021Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Losscited by 6

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