{
  "id": 3634505,
  "title": "How Robust Are Automated Fact-Checking Systems? A Cross-Benchmark Evaluation",
  "url": "https://urgent.news/2026/08/26/how-robust-are-automated-fact-checking-systems-a-cross-benchmark",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-26T15:50:10.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.25934v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Automated fact-checking (AFC) systems retrieve evidence and predict claim veracity, yet evaluations omit simple baselines, systems are developed for a single benchmark and cannot be trusted to generalise across domains. No prior work cross-evaluates the full two-stage retrieve-then-verify pipeline across diverse datasets, complementing retrieval-only studies (Thakur et al., 2021) and single-stage…",
  "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."
}