MuMiN is a misinformation graph dataset containing rich social media data (tweets, replies, users, images, articles, hashtags), spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically linked to 13 thousand fact-checked claims across dozens of topics, events and domains, in 41 different languages, spanning more than a decade.
MuMiN fills a gap in the existing misinformation datasets in multiple ways:
MuMiN features two node classification tasks, related to the veracity of a claim:
To use the dataset, see the "Getting Started" guide and tutorial at the MuMiN website.
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