{
  "id": 6702096,
  "title": "Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing",
  "url": "https://urgent.news/2026/09/10/recognizing-is-not-reversing-a-controlled-inversion-test-of-fact",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T16:23:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.11769v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models (LLMs) are increasingly used to analyze and rewrite news, yet current framing studies mainly evaluate generation, detection, or whether rewritten text appears more neutral. They do not directly show whether a model can undo a known framing transformation while keeping the facts fixed. We introduce a controlled inversion test over three established textual realizations of…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}