{
  "id": 14529,
  "url": "https://arxiv.org/abs/2512.18072",
  "title": "Statistical laws and linguistics differ in naturalistic video and fictional conversations",
  "summary": "arXiv:2512.18072v3 Announce Type: replace-cross Abstract: Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. One approach to studying how conversations unfold in time is through statistical patterns such as Heaps' law, which holds that vocabulary size scales with document length. Little work on Heaps' law has looked at conversation and considered how language features im",
  "authors": "Ashley M. A. Fehr, Calla G. Beauregard, Julia Witte Zimmerman, Katie Ekstr\\\"om, Pablo Rosillo-Rodes, Christopher M. Danforth, Peter Sheridan Dodds",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-30T04:00:00.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "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/14529",
  "original_url": "https://arxiv.org/abs/2512.18072",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}