Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8298
Title: | Overview of the Clef–2021 Checkthat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News | Authors: | Nakov, P. Da San Martino, G. Elsayed, T. Barrón-Cedeño, A. Míguez, R. Shaar, S. Alam, F. |
Keywords: | Check-worthiness estimation COVID-19 Disinformation Fact-checking Fake news detection Misinformation Verified claim retrieval Information retrieval Check-worthiness estimation Classification tasks COVID-19 Disinformation Fact-checking Fake news detection Misinformation News articles Turkishs Verified claim retrieval Laboratories |
Publisher: | Springer Science and Business Media Deutschland GmbH | Abstract: | We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, English, Spanish, and Turkish. Task 1 asks to predict which posts in a Twitter stream are worth fact-checking, focusing on COVID-19 and politics (in all five languages). Task 2 asks to determine whether a claim in a tweet can be verified using a set of previously fact-checked claims (in Arabic and English). Task 3 asks to predict the veracity of a news article and its topical domain (in English). The evaluation is based on mean average precision or precision at rank k for the ranking tasks, and macro-F1 for the classification tasks. This was the most popular CLEF-2021 lab in terms of team registrations: 132 teams. Nearly one-third of them participated: 15, 5, and 25 teams submitted official runs for tasks 1, 2, and 3, respectively. © 2021, Springer Nature Switzerland AG. | Description: | 12th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2021 -- 21 September 2021 through 24 September 2021 -- 265349 | URI: | https://doi.org/10.1007/978-3-030-85251-1_19 https://hdl.handle.net/20.500.11851/8298 |
ISBN: | 9783030852504 | ISSN: | 0302-9743 |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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