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European Conference on Information Retrieval

ECIR 2021: Advances in Information Retrieval pp 639–649Cite as

The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12657)

Abstract

We describe the fourth edition of the CheckThat! Lab, part of the 2021 Cross-Language Evaluation Forum (CLEF). The lab evaluates technology supporting various tasks related to factuality, and it is offered in Arabic, Bulgarian, English, and Spanish. Task 1 asks to predict which tweets in a Twitter stream are worth fact-checking (focusing on COVID-19). Task 2 asks to determine whether a claim in a tweet can be verified using a set of previously fact-checked claims. Task 3 asks to predict the veracity of a target news article and its topical domain. The evaluation is carried out using mean average precision or precision at rank k for the ranking tasks, and F\(_1\) for the classification tasks.

Keywords

  • Fake news
  • Fact-checking
  • Disinformation
  • Misinformation
  • Check-worthiness estimation
  • Verified claim retrieval
  • COVID-19

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Acknowledgments

The work of Tamer Elsayed and Maram Hasanain is made possible by NPRP grant #NPRP-11S-1204-170060 from the Qatar National Research Fund (a member of Qatar Foundation). The work of Fatima Haouari is supported by GSRA grant #GSRA6-1-0611-19074 from the Qatar National Research Fund. The statements made herein are solely the responsibility of the authors.

This research is also part of the Tanbih mega-project, developed at the Qatar Computing Research Institute, HBKU, which aims to limit the effect of “fake news”, propaganda, and media bias.

Author information

Authors and Affiliations

  1. Qatar Computing Research Institute, HBKU, Ar-Rayyan, Qatar

    Preslav Nakov, Shaden Shaar & Firoj Alam

  2. University of Padova, Padova, Italy

    Giovanni Da San Martino

  3. Qatar University, Doha, Qatar

    Tamer Elsayed, Fatima Haouari & Maram Hasanain

  4. DIT, Università di Bologna, Forlì, Italy

    Alberto Barrón-Cedeño

  5. Sofia University, Sofia, Bulgaria

    Nikolay Babulkov & Alex Nikolov

  6. Newtral Media Audiovisual, Madrid, Spain

    Rubén Míguez

  7. University of Duisburg-Essen, Duisburg, Germany

    Gautam Kishore Shahi

  8. University of Applied Sciences Potsdam, Potsdam, Germany

    Julia Maria Struß

  9. University of Hildesheim, Hildesheim, Germany

    Thomas Mandl

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  1. Preslav Nakov
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  2. Giovanni Da San Martino
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Correspondence to Preslav Nakov .

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Editors and Affiliations

  1. Radboud University Nijmegen, Nijmegen, The Netherlands

    Djoerd Hiemstra

  2. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Prof. Marie-Francine Moens

  3. Toulouse, Toulouse Institute of Computer Science Research, Toulouse, France

    Josiane Mothe

  4. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Raffaele Perego

  5. Leipzig University, Leipzig, Germany

    Martin Potthast

  6. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Fabrizio Sebastiani

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Nakov, P. et al. (2021). The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_75

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