MuMiN

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.

Complete download (zip, 190.7 MiB)

Creator(s) Ryan McConville, Dan Saattrup Nielsen, Yvonne Rigby
Publication date 09 Mar 2022
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.23yv276we2mll25fjakkfim2ml
Citation Ryan McConville, Dan Saattrup Nielsen, Yvonne Rigby (2022): MuMiN. https://doi.org/10.5523/bris.23yv276we2mll25fjakkfim2ml
Total size 190.7 MiB

Data Resources