{
  "id": 9952065,
  "title": "How I Built TruthScanML — Fake News Detection with ML",
  "url": "https://urgent.news/2026/09/26/how-i-built-truthscanml-fake-news-detection-with-ml",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-26T09:29:51.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/sparrow07/how-i-built-truthscanml-fake-news-detection-with-ml-35ni"
  },
  "original_language": "en",
  "account": null,
  "summary": "I built TruthScanML — an AI-powered fake news detector that combines offline ML (TF-IDF + Logistic Regression) with multi-source online evidence scoring. 🔗 Live: truthscanml.streamlit.app 🔗 Portfolio: sparrow07.me What it does Offline ML model for initial classification Online evidence from multiple sources Credibility & freshness scoring NLI-assisted verification - Honest INCONCLUSIVE verdicts…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}