<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T17:22:41Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2445/217138" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2445/217138</identifier><datestamp>2025-12-05T10:42:03Z</datestamp><setSpec>com_2072_1057</setSpec><setSpec>col_2072_478811</setSpec><setSpec>col_2072_478917</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_2445-217138" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:2445/217138">
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                  <mods:namePart>Ravenda, Diego</mods:namePart>
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                  <mods:namePart>Valencia Silva, Maika</mods:namePart>
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                  <mods:namePart>Argilés Bosch, Josep M.</mods:namePart>
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                  <mods:namePart>García Blandón, Josep</mods:namePart>
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                  <mods:dateIssued encoding="iso8601">2024-12-17T10:34:11Z2024-12-17T10:34:11Z2024-11-292024-12-17T10:34:11Z</mods:dateIssued>
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               <mods:abstract>Purpose – This study aims to explore the Facebook communication strategies of Spanish hospitals during health emergencies, focusing on their role in crisis management and public information dissemination.Design/methodology/approach – Automatic topic modelling and deep learning sentiment analysis were applied to analyse 151,738 posts from 274 hospital Facebook pages (March 2020–Feb 2022). Regression analyses were used to explore the relationships between topics, sentiment scores and hospital characteristics (...)</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">cc-by-nc (c) Emerald Publishing, 2024 http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess</mods:accessCondition>
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                  <mods:topic>Xarxes d'informació</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Xarxes socials</mods:topic>
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               <mods:subject>
                  <mods:topic>Pandèmia de COVID-19, 2020-</mods:topic>
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               <mods:subject>
                  <mods:topic>Gestió hospitalària</mods:topic>
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                  <mods:topic>Information networks</mods:topic>
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               <mods:subject>
                  <mods:topic>Social networks</mods:topic>
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               <mods:subject>
                  <mods:topic>COVID-19 Pandemic, 2020-</mods:topic>
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               <mods:subject>
                  <mods:topic>Hospital administration</mods:topic>
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                  <mods:title>Social media in healthcare emergency management: insights from Spanish hospitals during the COVID-19 pandemic</mods:title>
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               <mods:genre>info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion</mods:genre>
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