Publication Details

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

SRBA, I.; PECHER, B.; TOMLEIN, M.; MÓRO, R.; ŠTEFANCOVÁ, E.; ŠIMKO, J.; BIELIKOVÁ, M. Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Madrid: Association for Computing Machinery, 2022. p. 2949-2959. ISBN: 978-1-4503-8732-3.
Czech title
Monant datový soubor medicinských dezinformací: mapování článků k tvrzením ověřeným fakty
Type
conference paper
Language
English
Authors
SRBA, I.
Pecher Branislav, Ing. (DCGM)
TOMLEIN, M.
MÓRO, R.
ŠTEFANCOVÁ, E.
Šimko Jakub, doc. Ing., PhD. (DCGM)
Bieliková Mária, prof. Ing., Ph.D. (DCGM)
URL
Keywords

medical misinformation, dataset, fact-checking, Monant platform

Abstract

False information has a significant negative influence on individuals as well as on the whole society. Especially in the current COVID-19 era, we witness an unprecedented growth of medical misinformation. To help tackle this problem with machine learning approaches, we are publishing a feature-rich dataset of approx. 317k medical news articles/blogs and 3.5k fact-checked claims. It also contains 573 manually and more than 51k automatically labelled mappings between claims and articles. Mappings consist of claim presence, i.e., whether a claim is contained in a given article, and article stance towards the claim. We provide several baselines for these two tasks and evaluate them on the manually labelled part of the dataset. The dataset enables a number of additional tasks related to medical misinformation, such as misinformation characterisation studies or studies of misinformation diffusion between sources.

Published
2022
Pages
2949–2959
Proceedings
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
ISBN
978-1-4503-8732-3
Publisher
Association for Computing Machinery
Place
Madrid
DOI
UT WoS
000852715903001
EID Scopus
BibTeX
@inproceedings{BUT180392,
  author="SRBA, I. and PECHER, B. and TOMLEIN, M. and MÓRO, R. and ŠTEFANCOVÁ, E. and ŠIMKO, J. and BIELIKOVÁ, M.",
  title="Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims",
  booktitle="Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval",
  year="2022",
  pages="2949--2959",
  publisher="Association for Computing Machinery",
  address="Madrid",
  doi="10.1145/3477495.3531726",
  isbn="978-1-4503-8732-3",
  url="https://dl.acm.org/doi/10.1145/3477495.3531726"
}
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