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CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in English, Arabic, and Spanish. Task 1 asks to predict which tweets in a Twitter...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148108/ http://dx.doi.org/10.1007/978-3-030-45442-5_65 |
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author | Barrón-Cedeño, Alberto Elsayed, Tamer Nakov, Preslav Da San Martino, Giovanni Hasanain, Maram Suwaileh, Reem Haouari, Fatima |
author_facet | Barrón-Cedeño, Alberto Elsayed, Tamer Nakov, Preslav Da San Martino, Giovanni Hasanain, Maram Suwaileh, Reem Haouari, Fatima |
author_sort | Barrón-Cedeño, Alberto |
collection | PubMed |
description | We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in English, Arabic, and Spanish. Task 1 asks to predict which tweets in a Twitter stream are worth fact-checking. Task 2 asks to determine whether a claim posted in a tweet can be verified using a set of previously fact-checked claims. Task 3 asks to retrieve text snippets from a given set of Web pages that would be useful for verifying a target tweet’s claim. Task 4 asks to predict the veracity of a target tweet’s claim using a set of potentially-relevant Web pages. Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches. CheckThat! features a full evaluation framework. The evaluation is carried out using mean average precision or precision at rank k for ranking tasks, and F[Formula: see text] for classification tasks. |
format | Online Article Text |
id | pubmed-7148108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71481082020-04-13 CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media Barrón-Cedeño, Alberto Elsayed, Tamer Nakov, Preslav Da San Martino, Giovanni Hasanain, Maram Suwaileh, Reem Haouari, Fatima Advances in Information Retrieval Article We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in English, Arabic, and Spanish. Task 1 asks to predict which tweets in a Twitter stream are worth fact-checking. Task 2 asks to determine whether a claim posted in a tweet can be verified using a set of previously fact-checked claims. Task 3 asks to retrieve text snippets from a given set of Web pages that would be useful for verifying a target tweet’s claim. Task 4 asks to predict the veracity of a target tweet’s claim using a set of potentially-relevant Web pages. Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches. CheckThat! features a full evaluation framework. The evaluation is carried out using mean average precision or precision at rank k for ranking tasks, and F[Formula: see text] for classification tasks. 2020-03-24 /pmc/articles/PMC7148108/ http://dx.doi.org/10.1007/978-3-030-45442-5_65 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Barrón-Cedeño, Alberto Elsayed, Tamer Nakov, Preslav Da San Martino, Giovanni Hasanain, Maram Suwaileh, Reem Haouari, Fatima CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media |
title | CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media |
title_full | CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media |
title_fullStr | CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media |
title_full_unstemmed | CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media |
title_short | CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media |
title_sort | checkthat! at clef 2020: enabling the automatic identification and verification of claims in social media |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148108/ http://dx.doi.org/10.1007/978-3-030-45442-5_65 |
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