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Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer

arXiv 1805.07685 ↗First posted 20 May 2018cs.CL cs.LGcited by 55

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Abstract (arXiv)

We introduce a new approach to tackle the problem of offensive language in online social media. Our approach uses unsupervised text style transfer to translate offensive sentences into non-offensive ones. We propose a new method for training encoder-decoders using non-parallel data that combines a collaborative classifier, attention and the cycle consistency loss. Experimental results on data from Twitter and Reddit show that our method outperforms a state-of-the-art text style transfer system in two out of three quantitative metrics and produces reliable non-offensive transferred sentences.

Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 May 2018.

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Citing papers per year: 2021: 15; 2022: 10; 2023: 10; 2024: 14; 2025: 5; 2026: 1.

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  1. 2021Challenges in Detoxifying Language Modelscited by 169
  2. 2024Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systemscited by 63
  3. 2021Text Detoxification using Large Pre-trained Neural Modelscited by 52
  4. 2022Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Expertscited by 36
  5. 2021Civil Rephrases Of Toxic Texts With Self-Supervised Transformerscited by 32
  6. 2022Text Style Transfer for Bias Mitigation using Masked Language Modelingcited by 27
  7. 2022APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversationscited by 23
  8. 2021A Review of Text Style Transfer using Deep Learningcited by 18
  9. 2022Text Revision by On-the-Fly Representation Optimizationcited by 17
  10. 2022Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalizationcited by 17
  11. 2023Prompt-Based Editing for Text Style Transfercited by 16
  12. 2023On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlookcited by 15
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  1. 2023Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxificationcited by 15
  2. 2021Methods for Detoxification of Texts for the Russian Languagecited by 13
  3. 2021A Survey of Natural Language Generationcited by 13
  4. 2023A Call for Standardization and Validation of Text Style Transfer Evaluationcited by 13
  5. 2024MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languagescited by 13
  6. 2021Countering Online Hate Speech: An NLP Perspectivecited by 12
  7. 2021Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairnesscited by 12
  8. 2021Transductive Learning for Unsupervised Text Style Transfercited by 12
  9. 2024Multilingual and Explainable Text Detoxification with Parallel Corporacited by 12
  10. 2024DetoxLLM: A Framework for Detoxification with Explanationscited by 10
  11. 2021Revisiting Contextual Toxicity Detection in Conversationscited by 8
  12. 2023Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoisingcited by 7
  13. 2024LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedbackcited by 7
  14. 2023Don't Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewritingcited by 6
  15. 2023DiffuDetox: A Mixed Diffusion Model for Text Detoxificationcited by 6
  16. 2024MisgenderMender: A Community-Informed Approach to Interventions for Misgenderingcited by 6
  17. 2021StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commandscited by 5
  18. 2021From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Surveycited by 5
  19. 2023Translating away Translationese without Parallel Datacited by 5
  20. 2024Text Style Transfer: An Introductory Overviewcited by 5
  21. 2024An Active Learning Framework for Inclusive Generation by Large Language Modelscited by 5
  22. 2022StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfercited by 4
  23. 2025SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotatorscited by 4
  24. 2025LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxificationcited by 4
  25. 2022Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Modelscited by 3
  26. 2024Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Datacited by 3
  27. 2021Syntax Customized Video Captioning by Imitating Exemplar Sentencescited by 2
  28. 2022Exploiting Social Media Content for Self-Supervised Style Transfercited by 2
  29. 2023Safer Conversational AI as a Source of User Delightcited by 2
  30. 2023Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Trainingcited by 2
  31. 2024Mitigating Text Toxicity with Counterfactual Generationcited by 2
  32. 2025Evaluating Text Style Transfer: A Nine-Language Benchmark for Text Detoxificationcited by 2
  33. 2021Contextualizing Variation in Text Style Transfer Datasetscited by 1
  34. 2022IIITDWD-ShankarB@ Dravidian-CodeMixi-HASOC2021: mBERT based model for identification of offensive content in south Indian languagescited by 1
  35. 2022A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deceptioncited by 1
  36. 2024Soft-Label Integration for Robust Toxicity Classificationcited by 1
  37. 2025HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigationcited by 1
  38. 2021Empirical Evaluation of Supervision Signals for Style Transfer Modelscited by 0

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