<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>3295</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>251</pageFirst>
    <pageLast>275</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer International Publishing</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source</title>
    <abstract language="eng">We describe the sixth edition of the CheckThat! lab, part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). The five previous editions of CheckThat! focused on the main tasks of the information verification pipeline: check-worthiness, verifying whether a claim was fact-checked before, supporting evidence retrieval, and claim verification. In this sixth edition, we zoom into some new problems and for the first time we offer five tasks in seven languages: Arabic, Dutch, English, German, Italian, Spanish, and Turkish. Task 1 asks to determine whether an item - text or text plus image- is check-worthy. Task 2 aims to predict whether a sentence from a news article is subjective or not. Task 3 asks to assess the political bias of the news at the article and at the media outlet level. Task 4 focuses on the factuality of reporting of news media. Finally, Task 5 looks at identifying authorities in Twitter that could help verify a given target claim. For a second year, CheckThat! was the most popular lab at CLEF-2023 in terms of team registrations: 127 teams. About one-third of them (a total of 37) actually participated.</abstract>
    <parentTitle language="eng">Experimental IR Meets Multilinguality, Multimodality, and Interaction</parentTitle>
    <identifier type="doi">10.1007/978-3-031-42448-9_20</identifier>
    <identifier type="isbn">978-3-031-42448-9</identifier>
    <identifier type="issn">1611-3349</identifier>
    <enrichment key="opus.import.date">2023-12-12T12:34:49+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">hisres</enrichment>
    <licence>Keine öffentliche Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Alberto Barrón-Cedeño</author>
    <author>Firoj Alam</author>
    <author>Andrea Galassi</author>
    <author>Giovanni Da San Martino</author>
    <author>Preslav Nakov</author>
    <author>Tamer Elsayed</author>
    <author>Dilshod Azizov</author>
    <author>Tommaso Caselli</author>
    <author>Gullal S. Cheema</author>
    <author>Fatima Haouari</author>
    <author>Maram Hasanain</author>
    <author>Mucahid Kutlu</author>
    <author>Chengkai Li</author>
    <author>Federico Ruggeri</author>
    <author>Julia Maria Struß</author>
    <author>Wajdi Zaghouani</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>
    <collection role="ddc" number="020">Bibliotheks- und Informationswissenschaften</collection>
    <collection role="institutes" number="fb5">FB5 Informationswissenschaften</collection>
    <collection role="institutes" number="fb5b">Publikationen des FB Informationswissenschaften</collection>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Fachhochschule Potsdam</thesisPublisher>
  </doc>
</export-example>
