<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/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>2026-10-15T22:57:03Z</responseDate><request verb="GetRecord" identifier="oai:riunet.upv.es:10251/221839" metadataPrefix="oai_dc">https://riunet.upv.es/server/oai/request</request><GetRecord><record><header><identifier>oai:riunet.upv.es:10251/221839</identifier><datestamp>2026-05-30T19:54:37Z</datestamp><setSpec>com_10251_11198</setSpec><setSpec>col_10251_55048</setSpec><setSpec>openaire_data</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Time in social media applications: a definition and a tool to analyse technological affordances of time [Dataset]</dc:title>
   <dc:creator>Palomar Garcia, Clara</dc:creator>
   <dc:creator>Fernandez-Planells, Ariadna</dc:creator>
   <dc:creator>Sora Domenjó, Carles</dc:creator>
   <dc:contributor>Departamento de Comunicación Audiovisual, Documentación e Historia del Arte</dc:contributor>
   <dc:contributor>Facultad de Administración y Dirección de Empresas</dc:contributor>
   <dc:contributor>Escuela Politécnica Superior de Gandia</dc:contributor>
   <dc:subject>Social media</dc:subject>
   <dc:subject>Mobile apps</dc:subject>
   <dc:subject>Technological affordances</dc:subject>
   <dc:subject>System of analysis</dc:subject>
   <dc:subject>Time series analysis</dc:subject>
   <dc:subject>System analysis</dc:subject>
   <dc:description>This dataset includes the results of the analysis of four social media apps (Facebook, Instagram, TikTok and Twitter) using the tool Analysis System of Time in Applications (SATime). Documents included: (1) results obtained by three analysts and the final scoring computed by authors of the paper, (2) data sheet used for the analysis, (3) details and guidance of the elements analysed.</dc:description>
   <dc:description>[EN] The Analysis System of Time in Applications (SATime) has been designed and validated. This dataset includes the results of the analysis of four social media applications (Facebook, Instagram, TikTok, and Twitter) using this tool. During the pilot test, three analysts applied the system to four social media applications (Facebook, Instagram, TikTok, and Twitter) using two different scoring systems (0-1, 0-3). Documents included in this dataset: (1) results obtained by three analysts and the final score calculated by the authors of the article, (2) data sheet used as a method for analysis, (3) details and guidance on the parameters analyzed.</dc:description>
   <dc:description>Palomar Garcia, C.; Fernandez-Planells, Ariadna; Sora Domenjó, C. (2025). Time in social media applications: a definition and a tool to analyse technological affordances of time [Dataset]. Universitat Politècnica de València. https://doi.org/10.4995/Dataset/10251/221839</dc:description>
   <dc:date>2025-06-18</dc:date>
   <dc:type>Dataset</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>https://riunet.upv.es/handle/10251/221839</dc:identifier>
   <dc:identifier>info:doi:10.4995/Dataset/10251/221839</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>text/plain</dc:format>
   <dc:format>text/csv</dc:format>
   <dc:format>text/plain</dc:format>
   <dc:format>text/plain</dc:format>
   <dc:publisher>Universitat Politècnica de València</dc:publisher>
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