Mitigating Bias in GLAM Search Engines

Author:

Tian Xinran1ORCID,Nunes Bernardo Pereira1ORCID,Grant Katrina1ORCID,Casanova Marco Antonio2ORCID

Affiliation:

1. Australian National University, Canberra, ACT, Australia

2. Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brazil

Publisher

ACM

Reference17 articles.

1. Robots Can Be More Than Black And White

2. Marzieh Babaeianjelodar , Stephen Lorenz , Josh Gordon , Jeanna Matthews , and Evan Freitag . 2020 . Quantifying Gender Bias in Different Corpora. In Companion Proceedings of the Web Conference 2020 ( Taipei, Taiwan) (WWW '20). ACM, New York, NY, USA, 752--759. https://doi.org/10.1145/3366424.3383559 10.1145/3366424.3383559 Marzieh Babaeianjelodar, Stephen Lorenz, Josh Gordon, Jeanna Matthews, and Evan Freitag. 2020. Quantifying Gender Bias in Different Corpora. In Companion Proceedings of the Web Conference 2020 (Taipei, Taiwan) (WWW '20). ACM, New York, NY, USA, 752--759. https://doi.org/10.1145/3366424.3383559

3. Pierre Bourdieu , Dominique. Schnapper, and Alain. Darbel. 1991. The love of art: European art museums and their public / Pierre Bourdieu and Alain Darbel with Dominique Schnapper ; translated by Caroline Beattie and Nick Merriman. Polity Press Cambridge , UK. viii, 182 p.; pages. Pierre Bourdieu, Dominique. Schnapper, and Alain. Darbel. 1991. The love of art: European art museums and their public / Pierre Bourdieu and Alain Darbel with Dominique Schnapper; translated by Caroline Beattie and Nick Merriman. Polity Press Cambridge, UK. viii, 182 p.; pages.

4. Aleksandr Chuklin Ilya Markov and Maarten de Rijke. 2015. Click Models for Web Search. Morgan & Claypool. Aleksandr Chuklin Ilya Markov and Maarten de Rijke. 2015. Click Models for Web Search. Morgan & Claypool.

5. Old metadata in a new world: Standardizing the Getty Provenance Index for linked data

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