Run Like a Girl! Sport-Related Gender Bias in Language and Vision
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Harrison, Sophie
- dc.contributor.author Gualdoni, Eleonora
- dc.contributor.author Boleda, Gemma
- dc.date.accessioned 2023-06-02T06:00:13Z
- dc.date.available 2023-06-02T06:00:13Z
- dc.date.issued 2023
- dc.description.abstract Gender bias in Language and Vision datasets and models has the potential to perpetuate harmful stereotypes and discrimination. We analyze gender bias in two Language and Vision datasets. Consistent with prior work, we find that both datasets underrepresent women, which promotes their invisibilization. Moreover, we hypothesize and find that a bias affects human naming choices for people playing sports: speakers produce names indicating the sport (e.g. ‘tennis player’ or ‘surfer’) more often when it is a man or a boy participating in the sport than when it is a woman or a girl, with an average of 46% vs. 35% of sports-related names for each gender. A computational model trained on these naming data reproduces the bias. We argue that both the data and the model result in representational harm against women.
- dc.description.sponsorship This research is an output of grant PID2020-112602GBI00/MICIN/AEI/10.13039/501100011033, funded by the Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación (Spain) and of grant agreement No. 715154 funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme.
- dc.format.mimetype application/pdf
- dc.identifier.citation Harrison S, Gualdoni E, Boleda G. Run Like a Girl! Sport-Related Gender Bias in Language and Vision. Paper presented at: 61st Annual Meeting of the Association for Computational Linguistics, 2023; 2023 Jul 9-14; Toronto, Canada.
- dc.identifier.uri http://hdl.handle.net/10230/57020
- dc.language.iso eng
- dc.publisher ACL (Association for Computational Linguistics)
- dc.relation.ispartof 61st Annual Meeting of the Association for Computational Linguistics, 2023; 2023 Jul 9-14; Toronto, Canada.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-112602GB-I00
- dc.rights © ACL, Creative Commons Attribution 4.0 License
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.other Sexisme en el llenguatge
- dc.subject.other Discriminació sexual envers les dones
- dc.subject.other Llenguatge i llengües--Diferències entre sexes
- dc.title Run Like a Girl! Sport-Related Gender Bias in Language and Vision
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/acceptedVersion