{
  "id": 16640,
  "url": "https://arxiv.org/abs/2608.05008",
  "title": "The Beginning of ChatGPT Ads",
  "summary": "arXiv:2608.05008v1 Announce Type: new Abstract: This paper presents the first empirical study of advertising content being rolled out in the user-facing online interfaces of large language models (LLMs). We systematically examine possible demographic differences in ad content shown to U.S. users of ChatGPT using a sock puppet audit methodology. We create and deploy 91 sock puppets in a 3x3 factorial design, using geolocation cues (account IP proxies and location-signaling prompts) to signal thre",
  "authors": "Emma Lurie, Ro Encarnaci\\'on, Sorelle A. Friedler, Dana\\'e Metaxa",
  "category": "research",
  "topics": "transparency",
  "orgs": "openai",
  "regions": null,
  "published_at": "2026-08-06T04:00:00.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "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/16640",
  "original_url": "https://arxiv.org/abs/2608.05008",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}