xList-Hate: A Checklist-Based Framework for Interpretable and Generalizable Hate Speech Detection
#xList-Hate #Hate speech detection #Machine learning #Interpretable AI #arXiv #Natural Language Processing #Content moderation
📌 Key Takeaways
- Researchers have introduced xList-Hate, a new framework designed to improve how AI detects hate speech.
- The system moves away from simple binary (yes/no) classification to a more detailed checklist-based approach.
- xList-Hate addresses the problem of model overfitting, where AI fails to work across different platforms or legal systems.
- The framework enhances interpretability, allowing human moderators to understand the specific factors behind an AI's decision.
📖 Full Retelling
🐦 Character Reactions (Tweets)
Tech SatiristNew framework xList-Hate: Because nothing says 'love thy neighbor' like a checklist. #HateSpeechDetection #TechHumor
Legal Tech CommentatorxList-Hate: Turning hate speech detection into a legal brief. Next up: AI-powered jury duty? #TechLaw #HateSpeech
Social Media SkepticxList-Hate: Finally, a way to argue with your mom about what counts as hate speech. #SocialMedia #TechNews
AI HumoristxList-Hate: Because one size fits all hate speech detection just wasn't cutting it. #AIHumor #TechSatire
💬 Character Dialogue
🏷️ Themes
Artificial Intelligence, Content Moderation, Technology
📚 Related People & Topics
Machine learning
Study of algorithms that improve automatically through experience
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances i...
Natural language processing
Processing of natural language by a computer
Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely associated with artificial intelligence. NLP is also related to information retrieval, knowledge representation, computational linguistics, and ling...
Content moderation
System to sort undesirable contributions
Content moderation, in the context of websites that facilitate user-generated content, is the systematic process of identifying, reducing, or removing user contributions that are irrelevant, obscene, illegal, harmful, or insulting. This process may involve either direct removal of problematic conten...
🔗 Entity Intersection Graph
Connections for Machine learning:
- 🌐 Large language model (7 shared articles)
- 🌐 Generative artificial intelligence (3 shared articles)
- 🌐 Electroencephalography (3 shared articles)
- 🌐 Computer vision (3 shared articles)
- 🌐 Artificial intelligence (2 shared articles)
- 🌐 Graph neural network (2 shared articles)
- 🌐 Neural network (2 shared articles)
- 🌐 Transformer (1 shared articles)
- 🌐 User interface (1 shared articles)
- 👤 Stuart Russell (1 shared articles)
- 🌐 Ethics of artificial intelligence (1 shared articles)
- 👤 Susan Schneider (1 shared articles)
📄 Original Source Content
arXiv:2602.05874v1 Announce Type: cross Abstract: Hate speech detection is commonly framed as a direct binary classification problem despite being a composite concept defined through multiple interacting factors that vary across legal frameworks, platform policies, and annotation guidelines. As a result, supervised models often overfit dataset-specific definitions and exhibit limited robustness under domain shift and annotation noise. We introduce xList-Hate, a diagnostic framework that decom