{
  "id": 17703,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03214-3",
  "title": "Fear frames: mapping AI anxiety in Persian social media discourse",
  "summary": "Public discourse about artificial intelligence is a critical site for examining how risk and affect are collectively organized through social media. This study investigates the thematic and affective configurations through which Persian-language users on X engage with AI-related concerns, contributing one of the first computational analyses of AI discourse in a Persian-language public sphere and, to our knowledge, the first to integrate LDA topic modeling, multi-label keyword operationalization,",
  "authors": null,
  "category": "research",
  "topics": "finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-08T00:00:00.000Z",
  "fetched_at": "2026-08-09T05:10:05.170Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/17703",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03214-3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}