{
  "id": 17907,
  "url": "https://arxiv.org/abs/2608.06804v1",
  "title": "Fact-Check Your Information (FYI): A Design Probe to Understand How People Actually Fact-Check Data-Driven Articles",
  "summary": "Data-driven journalism and policy reports frequently rely on statements grounded in statistical evidence, referred to as data claims. Verifying such a claim requires connecting it to the underlying structured dataset. However, existing systems typically isolate automated fact-checking from manual data exploration, leaving it unclear how readers coordinate AI assistance with manual inspection of the evidence in practice. We present FYI, a browser extension that embeds fact-checking in the reading",
  "authors": "Nguyen-Truong Thinh, Yuxuan Du, Phongsakon Mark Konrad, Arpit Narechania",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-07T04:59:21.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17907",
  "original_url": "https://arxiv.org/abs/2608.06804v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}