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Measuring gender stereotype reinforcement in information retrieval systems

Fabris A.
•
Purpura A.
•
Silvello G.
•
Susto G. A.
2021
  • conference object

Abstract
Can we measure the tendency of an Information Retrieval (IR) system to reinforce gender stereotypes in its users? In this abstract, we define the construct of Gender Stereotype Reinforcement (GSR) in the context of IR and propose a measure for it based on Word Embeddings. We briefly discuss the validity of our measure and summarize our experiments on different families of IR systems.
Archivio
https://hdl.handle.net/11368/3107443
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85115635996
https://ceur-ws.org/Vol-2947/
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3107443/1/paper22.pdf
Soggetti
  • Fairne

  • Gender stereotype

  • Information retrieval...

  • Search engine

  • Word embeddings

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