{
  "id": 15835,
  "url": "https://arxiv.org/abs/2608.01540",
  "title": "Do people rely on ChatGPT more than their peers to detect deepfake news?",
  "summary": "arXiv:2608.01540v1 Announce Type: cross Abstract: This experimental study investigates how people rely on different sources of advice when detecting AI-generated fake news (deepfake news). In a laboratory deepfake detection task, student participants identified the proportion of human-written (non-AI-generated) content in synthetic deepfake news articles and received advice from ChatGPT (GPT-4), human peers, or linguistic experts. The results show that participants rely more on ChatGPT than on h",
  "authors": "Yuhao Fu, Nobuyuki Hanaki",
  "category": "research",
  "topics": "misinformation,children-education,finance-investment",
  "orgs": "openai",
  "regions": null,
  "published_at": "2026-08-04T04:00:00.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "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/15835",
  "original_url": "https://arxiv.org/abs/2608.01540",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}