<?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>2026-04-14T20:11:17Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/66065" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/66065</identifier><datestamp>2025-09-17T11:15:43Z</datestamp><setSpec>com_10324_1188</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1413</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Varela Rodríguez, Miguel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Vicente Mariño, Miguel</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2024-02-09T09:05:24Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2024-02-09T09:05:24Z</mods:dateAccessioned>
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<mods:originInfo>
<mods:dateIssued encoding="iso8601">2022</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Journal of Visual Communication in Medicine, 2022, vol. 45, n. 1, p. 26-42.</mods:identifier>
<mods:identifier type="issn">1745-3054</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/66065</mods:identifier>
<mods:identifier type="doi">10.1080/17453054.2021.1964356</mods:identifier>
<mods:identifier type="publicationfirstpage">26</mods:identifier>
<mods:identifier type="publicationissue">1</mods:identifier>
<mods:identifier type="publicationlastpage">42</mods:identifier>
<mods:identifier type="publicationtitle">Journal of Visual Communication in Medicine</mods:identifier>
<mods:identifier type="publicationvolume">45</mods:identifier>
<mods:identifier type="essn">1745-3062</mods:identifier>
<mods:abstract>This article presents a quantitative analysis of mentions to cancer on Instagram. Using thousands of images with cancer-related hashtags, we build several visualisations to capture their distribution. Source images are clustered by their visual traits and by the incidence, prevalence, and mortality of the cancer site they refer to. Our goal is three-fold: to provide a quantitative basis for future research on the representation of cancer online; to offer an interpretation of the sources of the imbalanced representation of the different cancer sites; and to motivate a debate on how that representation may affect patients and families.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>Whose cancer? Visualising the distribution of mentions to cancer sites on instagram</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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