{
  "id": 18289,
  "url": "https://arxiv.org/abs/2608.08657v1",
  "title": "Charting Public Health: A Taxonomic Study of Visualization Practices in the Public Health Field",
  "summary": "Public health organizations regularly produce and publish data visualizations to raise awareness of critical issues, influence decision-making processes, and promote overall well-being. However, the design practices shaping these visualizations in real-world settings remain largely unexamined, limiting the research community's ability to evaluate their effectiveness, accessibility, and alignment with communication goals. To address this gap, we construct and analyze a large-scale corpus of over",
  "authors": "Mia Hines, Alvitta Ottley",
  "category": "research",
  "topics": "safety-alignment,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-09T12:03:20.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18289",
  "original_url": "https://arxiv.org/abs/2608.08657v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}