{
  "id": 3341,
  "url": "https://arxiv.org/abs/2606.01228v1",
  "title": "Institutional Trust and the Domestic AI Advantage: Evidence from DeepSeek and ChatGPT Users in China",
  "summary": "Public trust in generative artificial intelligence exhibits increasingly divergent patterns across national contexts, yet prevailing research largely overlooks the macro-structural forces underlying this divergence. This study argues that trust in AI is not merely a technical response to performance but a product of institutional refraction. We propose an ``Institutional Prism'' framework to demonstrate how institutional trust shapes user trust in domestic (DeepSeek) and global (ChatGPT) large l",
  "authors": "Jiashen Huang, Yu Jia, Xu Pan",
  "category": "research",
  "topics": null,
  "orgs": "openai,deepseek",
  "regions": "china",
  "published_at": "2026-05-31T13:25:46.000Z",
  "fetched_at": "2026-07-14T16:30:09.962Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3341",
  "original_url": "https://arxiv.org/abs/2606.01228v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}