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Open Access

Peer-reviewed

Research Article

Quantifying gender bias towards politicians in cross-lingual language models

Karolina Stańczak ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: ks@di.ku.dk

Affiliation Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

https://orcid.org/0000-0001-7326-9594

⨯
Sagnik Ray Choudhury,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
⨯
Tiago Pimentel,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
⨯
Ryan Cotterell,

Roles Conceptualization, Funding acquisition, Supervision

Affiliation Department of Computer Science, ETH Zürich, Zürich, Switzerland
⨯
Isabelle Augenstein

Roles Conceptualization, Funding acquisition, Supervision

Affiliation Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
⨯

Quantifying gender bias towards politicians in cross-lingual language models

Karolina Stańczak,
Sagnik Ray Choudhury,
Tiago Pimentel,
Ryan Cotterell,
Isabelle Augenstein

x

Published: November 28, 2023
https://doi.org/10.1371/journal.pone.0277640

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