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, P.-
dc.contributor.authorDa San Martino, G.-
dc.contributor.authorElsayed, T.-
dc.contributor.authorBarrón-Cedeño, A.-
dc.contributor.authorMíguez, R.-
dc.contributor.authorShaar, S.-
dc.contributor.authorAlam, F.-
dc.date.accessioned2022-01-15T13:02:27Z-
dc.date.available2022-01-15T13:02:27Z-
dc.date.issued2021-
dc.identifier.isbn9783030852504-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-85251-1_19-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8298-
dc.description12th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2021 -- 21 September 2021 through 24 September 2021 -- 265349en_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. © 2021, Springer Nature Switzerland AG.en_US
dc.description.sponsorshipQatar Foundation, QF: 6-1-0611-19074; Qatar National Research Fund, QNRFen_US
dc.description.sponsorshipAcknowledgments. The 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.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCheck-worthiness estimationen_US
dc.subjectCOVID-19en_US
dc.subjectDisinformationen_US
dc.subjectFact-checkingen_US
dc.subjectFake news detectionen_US
dc.subjectMisinformationen_US
dc.subjectVerified claim retrievalen_US
dc.subjectInformation retrievalen_US
dc.subjectCheck-worthiness estimationen_US
dc.subjectClassification tasksen_US
dc.subjectCOVID-19en_US
dc.subjectDisinformationen_US
dc.subjectFact-checkingen_US
dc.subjectFake news detectionen_US
dc.subjectMisinformationen_US
dc.subjectNews articlesen_US
dc.subjectTurkishsen_US
dc.subjectVerified claim retrievalen_US
dc.subjectLaboratoriesen_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.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume12880 LNCSen_US
dc.identifier.startpage264en_US
dc.identifier.endpage291en_US
dc.identifier.scopus2-s2.0-85115877178-
dc.institutionauthorKutlu, Mücahid-
dc.identifier.doi10.1007/978-3-030-85251-1_19-
dc.authorscopusid15043153900-
dc.authorscopusid55915092700-
dc.authorscopusid56292434900-
dc.authorscopusid26321398000-
dc.authorscopusid57314168500-
dc.authorscopusid57207115832-
dc.authorscopusid56024506200-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
dc.identifier.wosqualityN/A-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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