Inequality and inequity in network-based ranking and recommendation algorithms

Though algorithms promise many benefits including efficiency, objectivity and accuracy, they may also introduce or amplify biases. Here we study two well-known algorithms, namely PageRank and Who-to-Follow (WTF), and show to what extent their ranks produce inequality and inequity when applied to dir...

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Detalles Bibliográficos
Autores principales: Espín-Noboa, Lisette, Wagner, Claudia, Strohmaier, Markus, Karimi, Fariba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821643/
https://www.ncbi.nlm.nih.gov/pubmed/35132072
http://dx.doi.org/10.1038/s41598-022-05434-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821643/
https://www.ncbi.nlm.nih.gov/pubmed/35132072
http://dx.doi.org/10.1038/s41598-022-05434-1

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