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Overview - Detection, Retrieval, and Augmented Generation for Understanding News (DRAGUN) 2025

Proceedings | Data | Runs | Participants

The TREC DRAGUN Track, the continuation of the Lateral Reading track, is for researchers interested in addressing the problems of misinformation and trust in search and online content. The current web landscape requires the ability to make judgments about the trustworthiness of information, which is a difficult task for most people. Meanwhile, automated detection of misinformation is likely to remain limited to well-defined domains or be limited to simple fact-checking.

Track coordinator(s):

  • Dake Zhang, University of Waterloo
  • Mark Smucker, University of Waterloo
  • Charles L. A. Clarke, University of Waterloo

Tasks:

  • trec2025-dragun-qgen: Question Generation
  • trec2025-dragun-repgen: Report Generation

Track Web Page: https://trec-dragun.github.io/