June 2, 2021 Dataset Open Access

Bienvenido León; Pilar Martínez-Costa; Ramón Salaverría; Ignacio López-Goñi

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  <identifier identifierType="DOI">10.5281/zenodo.4895047</identifier>
  <creators>
    <creator>
      <creatorName>Bienvenido León</creatorName>
      <affiliation>University of Navarra</affiliation>
    </creator>
    <creator>
      <creatorName>Pilar Martínez-Costa</creatorName>
      <affiliation>University of Navarra</affiliation>
    </creator>
    <creator>
      <creatorName>Ramón Salaverría</creatorName>
      <affiliation>University of Navarra</affiliation>
    </creator>
    <creator>
      <creatorName>Ignacio López-Goñi</creatorName>
      <affiliation>University of Navarra</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Content analysis dataset of health and science-related hoaxes during COVID-19 in Spain</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Covid-19</subject>
    <subject>Infodemics;</subject>
    <subject>Hoaxes</subject>
    <subject>Misinformation</subject>
    <subject>Spain</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-06-02</date>
  </dates>
  <language>es</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4895047</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4895046</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/covid-19</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset contains the coding of content analysis of a sample of&amp;nbsp;hoaxes debunked by three fact checkers in Spain&amp;nbsp;(N = 533): Maldita.es (N = 327), Newtral (N = 143), and EFE Verifica (N = 63). Coding includes de following variables:&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;0. Subject of the hoax: science/health, politics/government, other.&amp;nbsp;&lt;/p&gt;

&lt;ol&gt;
	&lt;li&gt;Platform used to spread the hoax: networks (in general), Twitter, Facebook, WhatsApp, Instagram, YouTube, and others.&lt;/li&gt;
	&lt;li&gt;Formats used: text, audio, image, video, other.&lt;/li&gt;
	&lt;li&gt;Geographical scope: local, national, international, unspecified/not applicable.&lt;/li&gt;
	&lt;li&gt;Type of hoax: joke, exaggeration, decontextualization, deception.&lt;/li&gt;
	&lt;li&gt;Topic of hoaxes related to science/health: scientific research, scientific policy and health management, advice issued to the public, and others.&lt;/li&gt;
	&lt;li&gt;Topic of hoaxes related to scientific research: origin of the virus, transmissibility, fatality rate, treatments, vaccines, etc.&lt;/li&gt;
	&lt;li&gt;Source type: anonymous, spoofed, fictitious, real.&lt;/li&gt;
	&lt;li&gt;Non-anonymous sources: members of the public, business, government, professional, healthcare/science.&lt;/li&gt;
	&lt;li&gt;Type of healthcare/science sources: researchers, international scientific organizations, national scientific organizations, health professionals, and others.&lt;/li&gt;
&lt;/ol&gt;</description>
  </descriptions>
</resource>