About: CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
Creator	Martino, San Barrón-Cedeño, Alberto Da, Giovanni Haouari, Fatima Hasanain, Maram Nakov, Preslav Suwaileh, Reem
source	PMC
abstract	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.
has issue date	2020-03-24(xsd:dateTime)
bibo:doi	10.1007/978-3-030-45442-5_65
has license	no-cc
sha1sum (hex)	a7cd0e506e1c9d4d89025807924bd0b1b2aa9950
schema:url	https://doi.org/10.1007/978-3-030-45442-5_65
resource representing a document's title	CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
has PubMed Central identifier	PMC7148108
schema:publication	Advances in Information Retrieval
resource representing a document's body	covid:a7cd0e506e1c9d4d89025807924bd0b1b2aa9950#body_text
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