March 19, 2023 Dataset Open Access

Pinney, Christine; Raj, Amifa; Hanna, Alex; Ekstrand, Michael D.

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  <identifier identifierType="DOI">10.5281/zenodo.7521838</identifier>
  <creators>
    <creator>
      <creatorName>Pinney, Christine</creatorName>
      <givenName>Christine</givenName>
      <familyName>Pinney</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7791-4754</nameIdentifier>
      <affiliation>Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName>Raj, Amifa</creatorName>
      <givenName>Amifa</givenName>
      <familyName>Raj</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8874-6645</nameIdentifier>
      <affiliation>Boise State University</affiliation>
    </creator>
    <creator>
      <creatorName>Hanna, Alex</creatorName>
      <givenName>Alex</givenName>
      <familyName>Hanna</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8957-0813</nameIdentifier>
      <affiliation>DAIR Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Ekstrand, Michael D.</creatorName>
      <givenName>Michael D.</givenName>
      <familyName>Ekstrand</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2467-0108</nameIdentifier>
      <affiliation>Boise State University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Much Ado About Gender (CHIIR 2023) Codebook and Data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2023</publicationYear>
  <dates>
    <date dateType="Issued">2023-03-19</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7521838</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="ConferencePaper">10.1145/3576840.3578316</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.7521837</relatedIdentifier>
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  <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;The codebook and data spreadsheet accompanying our paper &amp;quot;Much Ado About Gender:&amp;nbsp;Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access&amp;quot;, published in CHIIR 2023.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>National Science Foundation</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100000001</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/NSF/CISE/OAD/1751278/">1751278</awardNumber>
      <awardTitle>CAREER: User-Based Simulation Methods for Quantifying Sources of Error and Bias in Recommender Systems</awardTitle>
    </fundingReference>
  </fundingReferences>
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