{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreihpvibdrr7ailcbq6fu3mss24nl6okxre4wcmbb5j5cmp22ul65uq",
    "uri": "at://did:plc:q76iwbelgruxmwyu3ujalh5m/app.bsky.feed.post/3mohwmhbeejh2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreieygroe7dq7ztlqdhh74h3w4jtmmpxhywx6rdtp2ydkfjdnwri4pm"
    },
    "mimeType": "image/jpeg",
    "size": 40981
  },
  "path": "/blog/how-simppl-fact-checks-social-media/",
  "publishedAt": "2026-06-16T15:57:00.000Z",
  "site": "https://enterprise.wikimedia.com",
  "tags": [
    "Insights"
  ],
  "textContent": "SimPPL uses Wikimedia Enterprise APIs to ground its social media fact-checking pipeline and surface real-time context for Wikipedia editors. SimPPL monitors the information ecosystem by indexing posts receiving 100 billion views a month across 9 social media platforms. To turn this mountain of text into verifiable intelligence, SimPPL cross-references social media claims against the structured data provided by Wikimedia Enterprise.",
  "title": "SimPPL Uses Wikimedia Enterprise to Map Online Conversations and Fact-Check Social Media"
}