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.

Measuring gender stereotype reinforcement in information retrieval systems

Fabris A.;Purpura A.;Silvello G.;Susto G. A.
2021

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.
2021
Inglese
CEUR Workshop Proceedings
2947
CEUR-WS
11th Italian Information Retrieval Workshop, IIR 2021
2021
Department of Electrical and Information Engineering of Politecnico di Bari, ita
Fairness; Gender stereotypes; Information retrieval; Search engines; Word embeddings
no
273
Fabris, A.; Purpura, A.; Silvello, G.; Susto, G. A.
4
none
info:eu-repo/semantics/conferenceObject
04 CONTRIBUTO IN ATTO DI CONVEGNO::04.01 - Contributo in atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3402964
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