Litcius/Paper detail

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

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

2020Information Processing & Management53 citationsDOIOpen Access PDF

Topics & Concepts

Stereotype (UML)Computer scienceRanking (information retrieval)Context (archaeology)DebiasingMeasure (data warehouse)Artificial intelligenceNatural language processingConstruct (python library)Information retrievalWord (group theory)Machine learningPsychologyCognitive psychologySocial psychologyData miningLinguisticsProgramming languagePaleontologyPhilosophyBiologyHate Speech and Cyberbullying DetectionAuthorship Attribution and ProfilingMedia Influence and Politics
Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms | Litcius