Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10899
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dc.contributor.authorNakov, P.-
dc.contributor.authorBarrón-Cedeño, A.-
dc.contributor.authorDa, San, Martino, G.-
dc.contributor.authorAlam, F.-
dc.contributor.authorStruß, J.M.-
dc.contributor.authorMandl, T.-
dc.contributor.authorMíguez, R.-
dc.date.accessioned2023-12-23T06:07:20Z-
dc.date.available2023-12-23T06:07:20Z-
dc.date.issued2022-
dc.identifier.isbn9783030997380-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-99739-7_52-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10899-
dc.description44th European Conference on Information Retrieval, ECIR 2022 -- 10 April 2022 through 14 April 2022 -- 276459en_US
dc.description.abstractThe fifth edition of the CheckThat! Lab is held as part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting various factuality tasks in seven languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 focuses on disinformation related to the ongoing COVID-19 infodemic and politics, and asks to predict whether a tweet is worth fact-checking, contains a verifiable factual claim, is harmful to the society, or is of interest to policy makers and why. Task 2 asks to retrieve claims that have been previously fact-checked and that could be useful to verify the claim in a tweet. Task 3 is to predict the veracity of a news article. Tasks 1 and 3 are classification problems, while Task 2 is a ranking one. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.description.sponsorshipQatar Foundation, QF; Qatar National Research Fund, QNRF; Hamad Bin Khalifa University, HBKU: NPRP13S-0206-200281en_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-worthinessen_US
dc.subjectCOVID-19en_US
dc.subjectDisinformationen_US
dc.subjectFact-checkingen_US
dc.subjectFactualityen_US
dc.subjectFake newsen_US
dc.subjectMisinformationen_US
dc.subjectVerified claim retrievalen_US
dc.subjectFake detectionen_US
dc.subjectLaboratoriesen_US
dc.subjectCheck-worthinessen_US
dc.subjectDisinformationen_US
dc.subjectFact-checkingen_US
dc.subjectFactualityen_US
dc.subjectFake newsen_US
dc.subjectMisinformationen_US
dc.subjectNews articlesen_US
dc.subjectPolicy makersen_US
dc.subjectTurkishsen_US
dc.subjectVerified claim retrievalen_US
dc.subjectCOVID-19en_US
dc.titleThe CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detectionen_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume13186 LNCSen_US
dc.identifier.startpage416en_US
dc.identifier.endpage428en_US
dc.identifier.scopus2-s2.0-85168739207en_US
dc.institutionauthor…-
dc.identifier.doi10.1007/978-3-030-99739-7_52-
dc.authorscopusid15043153900-
dc.authorscopusid26321398000-
dc.authorscopusid55915092700-
dc.authorscopusid56024506200-
dc.authorscopusid57566127900-
dc.authorscopusid6701536910-
dc.authorscopusid57314168500-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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