Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8600
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dc.contributor.authorNakov, Preslav-
dc.contributor.authorBarron-Cedeno, Alberto-
dc.contributor.authorMartino, Giovanni Da San-
dc.contributor.authorAlam, Firoj-
dc.contributor.authorStruss, Julia Maria-
dc.contributor.authorMandl, Thomas-
dc.contributor.authorKutlu, Mücahid-
dc.date.accessioned2022-07-30T16:41:53Z-
dc.date.available2022-07-30T16:41:53Z-
dc.date.issued2022-
dc.identifier.citationNakov, P., Barrón-Cedeño, A., Da San Martino, G., Alam, F., Struß, J. M., Mandl, T., ... & Beltrán, J. (2022, April). The CLEF-2022 CheckThat! lab on fighting the COVID-19 infodemic and fake news detection. In European Conference on Information Retrieval (pp. 416-428). Springer, Cham.en_US
dc.identifier.isbn978-3-030-99739-7-
dc.identifier.isbn978-3-030-99738-0-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-99739-7_52-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8600-
dc.description44th European Conference on Information Retrieval (ECIR) -- APR 10-14, 2022 -- Stavanger, NORWAYen_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.en_US
dc.description.sponsorshipUniv Stavanger, British Comp Soc, Informat Retrieval Specialist Grp, Amazon, Bloomberg, Cobrainer, Elsevier, Google, L3S Res Ctr, MediaFutures, Norwegian Univ Sci & Technol, NorwAI, Schibsted, SIGIR, Signal AI, Spotify, Springer, Textkernel, Thomson Reuters, Vespa AI, Wayfair, Norwegian Univ Sci & Technol, Dept Comp Scien_US
dc.description.sponsorshipNPRP from the Qatar National Research Fund (a member of Qatar Foundation) [NPRP13S-0206-200281]en_US
dc.description.sponsorshipThis research is 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 media literacy and critical thinking. The Arabic annotation effort was partially made possible by NPRP grant NPRP13S-0206-200281 from the Qatar National Research Fund (a member of Qatar Foundation).en_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofAdvances In Information Retrieval, Pt Iien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFact-checkingen_US
dc.subjectDisinformationen_US
dc.subjectMisinformationen_US
dc.subjectCheck-worthinessen_US
dc.subjectVerified claim retrievalen_US
dc.subjectFake newsen_US
dc.subjectFactualityen_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.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.identifier.volume13186en_US
dc.identifier.startpage416en_US
dc.identifier.endpage428en_US
dc.authoridStruss, Julia Maria/0000-0001-9133-4978-
dc.identifier.wosWOS:000787788000052en_US
dc.identifier.scopus2-s2.0-85128772621en_US
dc.institutionauthorKutlu, Mücahid-
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
dc.identifier.scopusqualityQ3-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
crisitem.author.dept02.3. Department of Computer Engineering-
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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