Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8298
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dc.contributor.authorNakov, Preslav-
dc.contributor.authorMartino, Giovanni Da San-
dc.contributor.authorElsayed, Tamer-
dc.contributor.authorBarron-Cedeno, Alberto-
dc.contributor.authorMiguez, Ruben-
dc.contributor.authorShaar, Shaden-
dc.contributor.authorKartal, Yavuz Selim-
dc.date.accessioned2022-01-15T13:02:27Z-
dc.date.available2022-01-15T13:02:27Z-
dc.date.issued2021-
dc.identifier.isbn9783030852504-
dc.identifier.isbn9783030852511-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-85251-1_19-
dc.descriptionKartal, Yavuz Selim/0000-0002-2146-2680; Mansour, Watheq/0000-0002-9463-595X; Mandl, Thomas/0000-0002-8398-9699; Hasanain, Maram/0000-0002-7466-178X; Struss, Julia Maria/0000-0001-9133-4978; Haouari, Fatima/0000-0003-4842-2467; Shahi, Gautam Kishore/0000-0001-6168-0132en_US
dc.description.abstractWe describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, English, Spanish, and Turkish. Task 1 asks to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics (in all five languages). Task 2 asks to determine whether a claim in a tweet can be verified using a set of previously fact-checked claims (in Arabic and English). Task 3 asks to predict the veracity of a news article and its topical domain (in English). The evaluation is based on mean average precision or precision at rank k for the ranking tasks, and macro-F1 for the classification tasks. This was the most popular CLEF-2021 lab in terms of team registrations: 132 teams. Nearly one-third of them participated: 15, 5, and 25 teams submitted official runs for tasks 1, 2, and 3, respectively.en_US
dc.description.sponsorshipQatar National Research Fund (a member of Qatar Foundation) [NPRP-11S-1204-170060]; Qatar National Research Fund [GSRA6-1-0611-19074]en_US
dc.description.sponsorshipThe work of Tamer Elsayed and Maram Hasanain is 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. This research is also part of the Tanbih mega-project, developed at the Qatar Computing Research Institute, HBKU, which aims to limit the impact of "fake news", propaganda, and media bias, thus promoting digital literacy and critical thinking.en_US
dc.language.isoenen_US
dc.publisherSpringer international Publishing Agen_US
dc.relation.ispartof12th International Conference of the CLEF Association (CLEF) -- SEP 21-24, 2021 -- Univ Polytech Bucharest, ELECTR NETWORKen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFact-Checkingen_US
dc.subjectDisinformationen_US
dc.subjectMisinformationen_US
dc.subjectCheck-Worthiness Estimationen_US
dc.subjectVerified Claim Retrievalen_US
dc.subjectFake News Detectionen_US
dc.subjectCOVID-19en_US
dc.titleOverview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake Newsen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesLecture Notes in Computer Science-
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.volume12880en_US
dc.identifier.startpage264en_US
dc.identifier.endpage291en_US
dc.authoridKartal, Yavuz Selim/0000-0002-2146-2680-
dc.authoridMansour, Watheq/0000-0002-9463-595X-
dc.authoridMandl, Thomas/0000-0002-8398-9699-
dc.authoridHasanain, Maram/0000-0002-7466-178X-
dc.authoridStruss, Julia Maria/0000-0001-9133-4978-
dc.authoridHaouari, Fatima/0000-0003-4842-2467-
dc.authoridShahi, Gautam Kishore/0000-0001-6168-0132-
dc.identifier.wosWOS:001352265600019-
dc.identifier.scopus2-s2.0-85115877178-
dc.institutionauthorKutlu, Mücahid-
dc.identifier.doi10.1007/978-3-030-85251-1_19-
dc.authorwosidAlam, Firoj/Aau-8886-2021-
dc.authorwosidMandl, Thomas/Aad-1379-2020-
dc.authorwosidBarrón-Cedeño, Alberto/Kjb-6149-2024-
dc.authorwosidElsayed, Tamer/Acn-1646-2022-
dc.authorwosidHaouari, Fatima/Jry-5258-2023-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
dc.identifier.wosqualityN/A-
dc.description.woscitationindexConference Proceedings Citation Index - Science-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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