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2020 | OriginalPaper | Buchkapitel

Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media

verfasst von : Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali

Erschienen in: Experimental IR Meets Multilinguality, Multimodality, and Interaction

Verlag: Springer International Publishing

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Abstract

We present an overview of the third edition of the CheckThat!  Lab at CLEF 2020. The lab featured five tasks in two different languages: English and Arabic. The first four tasks compose the full pipeline of claim verification in social media: Task 1 on check-worthiness estimation, Task 2 on retrieving previously fact-checked claims, Task 3 on evidence retrieval, and Task 4 on claim verification. The lab is completed with Task 5 on check-worthiness estimation in political debates and speeches. A total of 67 teams registered to participate in the lab (up from 47 at CLEF 2019), and 23 of them actually submitted runs (compared to 14 at CLEF 2019). Most teams used deep neural networks based on BERT, LSTMs, or CNNs, and achieved sizable improvements over the baselines on all tasks. Here we describe the tasks setup, the evaluation results, and a summary of the approaches used by the participants, and we discuss some lessons learned. Last but not least, we release to the research community all datasets from the lab as well as the evaluation scripts, which should enable further research in the important tasks of check-worthiness estimation and automatic claim verification.

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Fußnoten
2
The 2018 edition  [41] focused on the identification and verification of claims in political debates. Beside political debates, the 2019 edition  [15, 16] also focused on isolated claims in conjunction with a closed set of Web documents to retrieve evidence from.
 
3
Recently, Twitter started flagging some tweets that violate its policy.
 
5
We used the following MicroMappers setup for the annotations: http://​micromappers.​qcri.​org/​project/​covid19-tweet-labelling/​.
 
6
This is influenced by [35].
 
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Metadaten
Titel
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
verfasst von
Alberto Barrón-Cedeño
Tamer Elsayed
Preslav Nakov
Giovanni Da San Martino
Maram Hasanain
Reem Suwaileh
Fatima Haouari
Nikolay Babulkov
Bayan Hamdan
Alex Nikolov
Shaden Shaar
Zien Sheikh Ali
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-58219-7_17