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				<title level="a" type="main">Health misinformation detection: search challenges, annotation issues and reliability of LLMs (Keynote)</title>
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							<persName><forename type="first">David</forename><forename type="middle">E</forename><surname>Losada</surname></persName>
							<email>david.losada@usc.es</email>
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								<orgName type="department">Centro Singular de Investigación en Tecnoloxías Intelixentes</orgName>
								<orgName type="institution">Universidad de Santiago de Compostela</orgName>
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									<country key="ES">Spain</country>
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								<orgName type="laboratory">CiTIUS (Centro Singular de Investigación en Tecnoloxías Intelixentes</orgName>
								<orgName type="institution">Universidad de Santiago de Compostela</orgName>
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									<country key="ES">Spain</country>
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						<title level="a" type="main">Health misinformation detection: search challenges, annotation issues and reliability of LLMs (Keynote)</title>
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						<idno type="ISSN">1613-0073</idno>
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					<term>Health misinformation</term>
					<term>Credibility</term>
					<term>Information Retrieval</term>
					<term>Evaluations</term>
					<term>Large Language Models</term>
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<div xmlns="http://www.tei-c.org/ns/1.0"><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></div>
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