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  "story": {
    "story_id": "mp-2026-07-30-009",
    "source_story_id": "tmp-story-us-landslide-exposure-database",
    "edition_id": "mp-2026-07-30-morning-0021",
    "edition_url": "https://themachinepress.com/edition/2026-07-30",
    "position": 9,
    "story_type": "dispatch",
    "section": "infrastructure",
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    "headline": "The Landslide Map Counted Buildings and People",
    "slug": "the-landslide-map-counted-buildings-and-people",
    "dek": "A national database rates 128 million buildings and estimates that 6.5 million residents face high exposure.",
    "summary": "A national database rates 128 million buildings and estimates that 6.5 million residents face high exposure.",
    "body_text": "University of Washington researchers combined terrain susceptibility, building footprints, occupancy and census data into the Landslide Exposure Database. Their Earth’s Future analysis places most highly exposed residents in Appalachia and along the West Coast and finds different urban and rural vulnerability patterns; it is a prioritization tool, not a property-level prediction of when a slide will occur.",
    "why_it_matters": "A national database rates 128 million buildings and estimates that 6.5 million residents face high exposure.",
    "limitations": [
      "Their Earth’s Future analysis places most highly exposed residents in Appalachia and along the West Coast and finds different urban and rural vulnerability patterns; it is a prioritization tool, not a property-level prediction of when a slide will occur."
    ],
    "importance": 9,
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    "first_published_at": "2026-07-30T09:00:00.000-04:00",
    "modified_at": "2026-07-30T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
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        "text": "A national database rates 128 million buildings and estimates that 6.5 million residents face high exposure.",
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        "qualification": "Their Earth’s Future analysis places most highly exposed residents in Appalachia and along the West Coast and finds different urban and rural vulnerability patterns; it is a prioritization tool, not a property-level prediction of when a slide will occur."
      }
    ],
    "source_ids": [
      "source-2026-07-30-009"
    ],
    "tags": [
      "landslides",
      "risk mapping",
      "buildings",
      "disaster planning"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-07-30-009",
      "title": "University of Washington via Newswise: National landslide exposure database",
      "publisher": "University of Washington",
      "url": "https://www.newswise.com/articles/https-www-washington-edunews20260729landslide-exposure-database",
      "canonical_url": "https://www.newswise.com/articles/https-www-washington-edunews20260729landslide-exposure-database",
      "source_type": "official_announcement",
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      "published_at": null,
      "accessed_at": "2026-07-30T08:30:57.270-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Landslide Map Counted Buildings and People",
    "publisher": "The Machine Press",
    "published_at": "2026-07-30T09:00:00.000-04:00",
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