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  <front>
    <journal-meta>
      <issn pub-type="ppub">1613-0073</issn>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>detection: search challenges, annotation issues and reliability of LLMs (Keynote)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>David E. Losada</string-name>
          <email>david.losada@usc.es</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Health misinformation</institution>
          ,
          <addr-line>Credibility, Information Retrieval, Evaluations</addr-line>
          ,
          <country>Large Language Models</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Universidad de Santiago de Compostela, Centro Singular de Investigación en Tecnoloxías Intelixentes</institution>
          ,
          <country country="ES">Spain</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>As part of ROMCIR 2024, the 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval, Prof. David E. Losada was invited to give a Keynote Speech discussing the current challenges related to the problem of health misinformation. The abstract of the speech follows.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>CEUR</p>
    </sec>
  </body>
  <back>
    <ref-list />
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