{
  "id": 18317,
  "url": "https://arxiv.org/abs/2608.08497v1",
  "title": "SocialFiVis: A Visual Analytics Sandbox for LLM-Grounded Multi-Agent Simulation in Social Finance",
  "summary": "The emergence of social finance (SocialFi) transforms online communities into complex socio-economic systems. Within these spaces, collective decisions shape a \"digital commons\" characterized by social capital (e.g., community trust) and financial health (e.g., market liquidity). Governing such hybrid ecosystems is challenging because real-world interventions are costly and irreversible. While counterfactual simulation is essential for exploring alternative governance strategies, existing approa",
  "authors": "Yi-Fan Cao, Qing Shi, Liangwei Wang, Leo Yu-Ho Lo, Lin Chen, Yuzi Han et al.",
  "category": "research",
  "topics": "regulation,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-09T05:30:55.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "arxiv-hci",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18317",
  "original_url": "https://arxiv.org/abs/2608.08497v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}