Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse

arXiv:2609.37408 · cs.CL, cs.SI · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.SI

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Clustering — 10× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Large Language Model — 3× in this paper
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Sources

• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
• GPT-NER: Named Entity Recognition via Large Language Models

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering