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https://hdl.handle.net/20.500.11851/8599
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kartal, Yavuz Selim | - |
dc.contributor.author | Kutlu, Mücahid | - |
dc.date.accessioned | 2022-07-30T16:41:52Z | - |
dc.date.available | 2022-07-30T16:41:52Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Kartal, Y. S., & Kutlu, M. (2022). Re-Think Before You Share: A Comprehensive Study on Prioritizing Check-Worthy Claims. IEEE Transactions on Computational Social Systems. | en_US |
dc.identifier.issn | 2329-924X | - |
dc.identifier.uri | https://doi.org/10.1109/TCSS.2021.3138642 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/8599 | - |
dc.description.abstract | The massive amount of misinformation spreading on the internet on a daily basis has enormous negative impacts on societies. Therefore, we need systems to help fact-checkers to combat misinformation and to raise public awareness of this important problem. In this article, we propose a hybrid model which combines bidirectional encoder representations from transformer (BERT) model with various features to prioritize claims based on their check-worthiness. Features we use include domain-specific controversial topics (CT), word embeddings (WE), part-of-speech (POS) tags, and others. In addition, we explore various ways of increasing labeled data size to effectively train the models, such as increasing positive (IncPos) samples, active learning (AL), and utilizing labeled data in other languages. In our extensive experiments, we show that our model outperforms all state-of-the-art models in test collections of Conference and Labs of Evaluation Forum (CLEF) CheckThat! Lab (CTL) 2018 and 2019. In addition, when positive samples are increased in the training set, our model achieves the best mean average precision (MAP) score reported so far for the test collection of CTL 2020. Furthermore, we show that cross-lingual training is effective for prioritizing Arabic and Turkish claims, but not for English. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | IEEE Transactions On Computational Social Systems | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Task analysis | en_US |
dc.subject | Fake news | en_US |
dc.subject | Data models | en_US |
dc.subject | Training | en_US |
dc.subject | Bit error rate | en_US |
dc.subject | Training data | en_US |
dc.subject | Predictive models | en_US |
dc.subject | Check-worthy claims | en_US |
dc.subject | fact-checking | en_US |
dc.subject | misinformation | en_US |
dc.title | Re-Think Before You Share: a Comprehensive Study on Prioritizing Check-Worthy Claims | en_US |
dc.type | Article | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.identifier.wos | WOS:000745526600001 | en_US |
dc.identifier.scopus | 2-s2.0-85123277986 | en_US |
dc.institutionauthor | Kutlu, Mücahid | - |
dc.identifier.doi | 10.1109/TCSS.2021.3138642 | - |
dc.authorscopusid | 57200283506 | - |
dc.authorscopusid | 35299304300 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. 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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