ADHO Digital Humanities Conference 2023 (DH2023)
Published June 30, 2023 | Version v1
Conference paper Open

Collaboration Across the Archival and Computational Sciences to Address Legacies of Gender Bias in Descriptive Metadata

Authors/Creators

  • 1. School of Informatics; University of Edinburgh, United Kingdom
  • 2. Heritage Collections; University of Edinburgh, United Kingdom
  • 3. School of Informatics; Edinburgh Futures Institute; School of Literatures, Languages and Cultures; University of Edinburgh, United Kingdom
  • 4. College of Arts, Humanities and Social Sciences; University of Edinburgh, United Kingdom

Contributors

  • 1. University of Graz
  • 2. Belgrade Center for Digital Humanities
  • 3. Le Mans Université
  • 4. Digital Humanities im deutschsprachigen Raum

Description

This presentation reports on a case study investigating how Natural Language Processing technologies can support the measurement and evaluation of gender bias in archival catalogs. Furthermore, we demonstrate how Humanistic approaches can upend legacies of gender-based oppression that most computational approaches to date uphold when working with data at scale.

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HAVENS_Lucy_Collaboration_Across_the_Archival_and_Computatio.pdf

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Additional details

Related works

Is part of
Book: 10.5281/zenodo.7961822 (DOI)