<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>2999</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>416</pageFirst>
    <pageLast>428</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-07</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection</title>
    <abstract language="eng">The fifth edition of the CheckThat! Lab is held as part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting various factuality tasks in seven languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 focuses on disinformation related to the ongoing COVID-19 infodemic and politics, and asks to predict whether a tweet is worth fact-checking, contains a verifiable factual claim, is harmful to the society, or is of interest to policy makers and why. Task 2 asks to retrieve claims that have been previously fact-checked and that could be useful to verify the claim in a tweet. Task 3 is to predict the veracity of a news article. Tasks 1 and 3 are classification problems, while Task 2 is a ranking one.</abstract>
    <parentTitle language="eng">Advances in Information Retrieval. ECIR 2022</parentTitle>
    <identifier type="isbn">978-3-030-99739-7</identifier>
    <identifier type="issn">0302-9743</identifier>
    <identifier type="doi">10.1007/978-3-030-99739-7_52</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Keine öffentliche Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Preslav Nakov</author>
    <author>Alberto Barrón-Cedeño</author>
    <author>Giovanni Da San Martino</author>
    <author>Firoj Alam</author>
    <author>Julia Maria Struß</author>
    <author>Thomas Mandl</author>
    <author>Rubén Míguez</author>
    <author>Tommaso Caselli</author>
    <author>Mucahid Kutlu</author>
    <author>Wajdi Zaghouani</author>
    <author>Chengkai Li</author>
    <author>Shaden Shaar</author>
    <author>Gautam Kishore Shahi</author>
    <author>Hamdy Mubarak</author>
    <author>Alex Nikolov</author>
    <author>Nikolay Babulkov</author>
    <author>Yavuz Selim Kartal</author>
    <author>Javier Beltrán</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Desinformation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Fehlinformation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>COVID-19</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fact-checking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Check-worthiness estimation</value>
    </subject>
    <collection role="ddc" number="000">Informatik, Wissen, Systeme</collection>
    <collection role="institutes" number="fb5">FB5 Informationswissenschaften</collection>
    <collection role="institutes" number="fb5b">Publikationen des FB Informationswissenschaften</collection>
    <thesisPublisher>Fachhochschule Potsdam</thesisPublisher>
  </doc>
</export-example>
