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AuthorBarrón-Cedeño, Alberto
AuthorAlam, Firoj
AuthorCaselli, Tommaso
AuthorDa San Martino, Giovanni
AuthorElsayed, Tamer
AuthorGalassi, Andrea
AuthorHaouari, Fatima
AuthorRuggeri, Federico
AuthorStruß, Julia Maria
AuthorNandi, Rabindra Nath
AuthorCheema, Gullal S.
AuthorAzizov, Dilshod
AuthorNakov, Preslav
Available date2024-11-05T06:05:19Z
Publication Date2023
Publication NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ResourceScopus
Identifierhttp://dx.doi.org/10.1007/978-3-031-28241-6_59
ISSN3029743
URIhttp://hdl.handle.net/10576/60873
AbstractThe five editions of the CheckThat! lab so far have focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. The 2023 edition of the lab zooms into some of the problems and-for the first time-it offers five tasks in seven languages (Arabic, Dutch, English, German, Italian, Spanish, and Turkish): Task 1 asks to determine whether an item, text or a text plus an image, is check-worthy; Task 2 requires to assess whether a text snippet is subjective or not; Task 3 looks for estimating the political bias of a document or a news outlet; Task 4 requires to determine the level of factuality of a document or a news outlet; and Task 5 is about identifying authorities that should be trusted to verify a contended claim.
SponsorAcknowledgments. The work of Tamer Elsayed was made possible by NPRP grant #NPRP-11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The work of Fatima Haouari is supported by GSRA grant #GSRA6-1-0611-19074 from the Qatar National Research Fund. The statements made herein are solely the responsibility of the authors.
Languageen
PublisherSpringer Science and Business Media Deutschland GmbH
SubjectAuthority finding
Check-worthiness
Disinformation
Fact-checking
Factuality
Political bias
Subjectivity
TitleThe CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
TypeConference
Pagination506-517
Volume Number13982 LNCS
dc.accessType Abstract Only


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