Countering disinformation by finding reliable sources: a citation-based approach

dc.contributor.author
Przybyła, Piotr
dc.contributor.author
Borkowski, Piotr
dc.contributor.author
Kaczyński, Konrad
dc.date.accessioned
2026-03-07T08:40:36Z
dc.date.available
2026-03-07T08:40:36Z
dc.date.issued
2026-03-06T15:07:29Z
dc.date.issued
2026-03-06T15:07:29Z
dc.date.issued
2022
dc.date.issued
2026-03-06T15:07:29Z
dc.identifier
Przybyła P, Borkowski P, Kaczyński K. Countering disinformation by finding reliable sources: a citation-based approach. In: Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN); 2022 July 18-23. Padua, Italy. New York: IEEE; 2022. p. 1-8. DOI: 10.1109/IJCNN55064.2022.9891941
dc.identifier
9781728186719
dc.identifier
https://hdl.handle.net/10230/72719
dc.identifier
http://dx.doi.org/10.1109/IJCNN55064.2022.9891941
dc.identifier.uri
https://hdl.handle.net/10230/72719
dc.description.abstract
We propose a new task aimed at countering dis- and misinformation, called Finding Reliable Sources. Given a one-sentence claim, the challenge is to automatically find a knowledge source (e.g. a book, a research article, a web page) that could support or refute the claim. We show that this capability could be learnt by observing associations between sentences in English Wikipedia and citations provided for them. Thus, we collect a corpus of over 50 million references to 24 million identified sources with the citation context from Wikipedia, and build search indices using several meaning representation methods. For evaluation, apart from the Wikipedia corpus, we prepare another test set based on the FEVER fact-checking dataset.
dc.description.abstract
This work was supported by thePolish National Agency for AcademicExchangethrough aPolish Returnsgrant number PPN/PPO/2018/1/00006.
dc.format
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN); 2022 July 18-23. Padua, Italy. New York: IEEE; 2022.
dc.rights
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/IJCNN55064.2022.9891941
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Finding reliable sources
dc.subject
Misinformation
dc.subject
Factchecking
dc.subject
Fake news
dc.title
Countering disinformation by finding reliable sources: a citation-based approach
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:eu-repo/semantics/acceptedVersion


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