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Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms · Study

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ArticleGender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms

Alessandro Fabris2020

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Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms

Alessandro Fabris · Alberto Purpura · Gianmaria Silvello · Gian Antonio Susto

52 citations·0/0 files stored·Information Processing & Management

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Ethics and Social Impacts of AI Information Retrieval and Search Behavior Media, Gender, and Advertising

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References

1973Availability: A heuristic for judging frequency and probability 1998Measuring individual differences in implicit cognition: The implicit association test.1998Measuring individual differences in implicit cognition: The implicit association test.2002A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition.1995Validity of psychological assessment: Validation of inferences from persons' responses and performances as scientific inquiry into score meaning.2017Semantics derived automatically from language corpora contain human-like biases 2018Algorithms of Oppression 2016Filter Bubbles, Echo Chambers, and Online News Consumption

Cited by

2023Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach 2023Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results 2023Utilizing data driven methods to identify gender bias in LinkedIn profiles 2021Family Business as a Bearer of Social Sustainability in Multinationals-Case of Slovakia

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Year2020

Typearticle

Published2020-09-03

VenueInformation Processing & Management

ISSN-L0020-0271

Languageen

Citations52

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ShelfEthics and Social Impacts of AI

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doi10.1016/j.ipm.2020.102377

openalex_workW3081529310

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2023

Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users

2022Gender Fairness in Information Retrieval Systems