Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10814
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dc.contributor.authorEyuboglu, A.B.-
dc.contributor.authorAltun, B.-
dc.contributor.authorArslan, M.B.-
dc.contributor.authorSonmezer, E.-
dc.contributor.authorKutlu, M.-
dc.date.accessioned2023-10-24T07:04:28Z-
dc.date.available2023-10-24T07:04:28Z-
dc.date.issued2023-
dc.identifier.isbn9783031424472-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-42448-9_14-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10814-
dc.descriptionProceedings of the 14th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2023 -- 18 September 2023 through 21 September 2023 -- 300519en_US
dc.description.abstractIn this paper, we present our participation in CLEF 2022 CheckThat! Lab’s Task 1 on detecting check-worthy and verifiable claims and attention-worthy and harmful tweets. We participated in all subtasks of Task 1 for Arabic, Bulgarian, Dutch, English, and Turkish datasets. We investigate the impact of fine-tuning various transformer models and how to increase training data size using machine translation. We also use feed-forward networks with the Manifold Mixup regularization for the respective tasks. We are ranked first in detecting factual claims in Arabic and harmful tweets in Dutch. In addition, we are ranked second in detecting check-worthy claims in Arabic and Bulgarian. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.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/closedAccessen_US
dc.subjectAttention-worthy tweetsen_US
dc.subjectCheck-worthinessen_US
dc.subjectFact-Checkingen_US
dc.subjectFactual Claimsen_US
dc.subjectHarmful tweetsen_US
dc.subjectComputational linguisticsen_US
dc.subjectAttention-worthy tweeten_US
dc.subjectCheck-worthinessen_US
dc.subjectFact-checkingen_US
dc.subjectFactual claimen_US
dc.subjectFine tuningen_US
dc.subjectHarmful tweeten_US
dc.subjectSocial mediaen_US
dc.subjectSubtasken_US
dc.subjectTransformer modelingen_US
dc.subjectTurkishsen_US
dc.subjectSocial networking (online)en_US
dc.titleFight Against Misinformation on Social Media: Detecting Attention-Worthy and Harmful Tweets and Verifiable and Check-Worthy Claimsen_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume14163 LNCSen_US
dc.identifier.startpage161en_US
dc.identifier.endpage173en_US
dc.identifier.scopus2-s2.0-85172383456-
dc.institutionauthor…-
dc.identifier.doi10.1007/978-3-031-42448-9_14-
dc.authorscopusid57866065800-
dc.authorscopusid57210372548-
dc.authorscopusid57226399387-
dc.authorscopusid57867078600-
dc.authorscopusid35299304300-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ3-
dc.identifier.wosqualityN/A-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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