Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9273
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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.authorKartal, Yavuz Selim-
dc.date.accessioned2022-12-25T20:14:23Z-
dc.date.available2022-12-25T20:14:23Z-
dc.date.issued2022-
dc.identifier.isbn978-3-031-13643-6-
dc.identifier.isbn978-3-031-13642-9-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-13643-6_29-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/9273-
dc.description13th International Conference of the CLEF-Association (CLEF) - Experimental IR meets Multilinguality, Multimodality, and Interaction -- SEP 05-08, 2022 -- Univ Bologna, Bologna, ITALYen_US
dc.description.abstractWe describe the fifth edition of the CheckThat! lab, part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality in multiple languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 asks to identify relevant claims in tweets in terms of check-worthiness, verifiability, harmfullness, and attention-worthiness. Task 2 asks to detect previously fact-checked claims that could be relevant to fact-check a new claim. It targets both tweets and political debates/speeches. Task 3 asks to predict the veracity of the main claim in a news article. CheckThat! was the most popular lab at CLEF-2022 in terms of team registrations: 137 teams. More than one-third (37%) of them actually participated: 18, 7, and 26 teams submitted 210, 37, and 126 official runs for tasks 1, 2, and 3, respectively.en_US
dc.description.sponsorshipConf & Labs Evaluat Forum Assocen_US
dc.description.sponsorshipGerman Federal Ministry of Education and Research (BMBF) [01FP20031J]en_US
dc.description.sponsorshipPart of this work has been funded by the German Federal Ministry of Education and Research (BMBF) under the grant no. 01FP20031J. The responsibility for the contents of this publication lies with the authors.en_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofExperimental Ir Meets Multilinguality, Multimodality, and Interaction (Clef 2022)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_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.subjectCOVID-19en_US
dc.titleOverview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detectionen_US
dc.typeConference Objecten_US
dc.departmentESTÜen_US
dc.identifier.volume13390en_US
dc.identifier.startpage495en_US
dc.identifier.endpage520en_US
dc.authoridCaselli, Tommaso/0000-0003-2936-0256-
dc.authoridMandl, Thomas/0000-0002-8398-9699-
dc.identifier.wosWOS:000870333000029en_US
dc.identifier.scopus2-s2.0-85136954875en_US
dc.institutionauthor[Belirlenecek]-
dc.identifier.doi10.1007/978-3-031-13643-6_29-
dc.authorwosidCaselli, Tommaso/HDN-3839-2022-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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