{
  "id": 3004,
  "url": "https://arxiv.org/abs/2607.11279v1",
  "title": "FAD-SA-GRU: Enhancing Hate Speech Detection in Algerian Dialect Through Feature-Augmented Self-Attention GRU Networks",
  "summary": "The widespread adoption of social media platforms has transformed online communication by enabling users to exchange information and opinions instantly. However, these platforms have also facilitated the dissemination of abusive and hateful content, posing major social, psychological, and ethical challenges. Hate speech can incite discrimination, harassment, and violence against individuals or communities based on attributes such as ethnicity, religion, gender, nationality, or political affiliat",
  "authors": "Sara Yakoubi, Ikram Khalfallah, Kenza Khelkhal, Dihia Lanasri",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-13T08:59:47.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-arxiv-cs-cl-ethics-relevant-nlp",
  "source_name": "arXiv cs.CL (ethics-relevant NLP)",
  "source_homepage": "https://arxiv.org/list/cs.CL/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/3004",
  "original_url": "https://arxiv.org/abs/2607.11279v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}