MuMiN

  • Ryan McConville (Creator)
  • Dan Saattrup Nielsen (Creator)
  • Yvonne Rigby (Creator)

Dataset

Description

The MuMiN dataset is a challenging misinformation benchmark for automatic misinformation detection models. The dataset is structured as a heterogeneous graph and features 21,565,018 tweets and 1,986,354 users, belonging to 26,048 Twitter threads, discussing 12,914 fact-checked claims from 115 fact-checking organisations in 41 different languages, spanning a decade.
Date made available24 Feb 2022
PublisherUniversity of Bristol

Cite this