{
  "id": 19125,
  "url": "https://arxiv.org/abs/2608.12361",
  "title": "New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs",
  "summary": "arXiv:2608.12361v1 Announce Type: cross Abstract: Neologisms, emerging terms in meaning or form, can serve as new vehicles for toxic expression, like \"country girl\" as a stigmatizing label targeting feminism. Such toxic neologisms appear benign but have evolved into toxic usage in public consensus, posing challenges to moderation systems and remaining underexplored. In this paper, we investigate how to detect implicit toxicity expressed via neologisms. We first propose a taxonomy that captures t",
  "authors": "Shiyao Cui, QingLin Zhang, Di Wang, Yida Lu, Zhexin Zhang, Jinhua Gao, Jinglin Yang, Min He, Han Qiu, Minlie Huang",
  "category": "research",
  "topics": "finance-investment",
  "orgs": null,
  "regions": "china",
  "published_at": "2026-08-14T04:00:00.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19125",
  "original_url": "https://arxiv.org/abs/2608.12361",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}