/fair_ranking_effectiveness_on_outcomes

AIES 2021 Paper: Does Fair Ranking Imporve Minority Outcomes?

Primary LanguageJupyter Notebook

fair_ranking_effectiveness_on_outcomes

Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju

AIES 2021 Paper: Does Fair Ranking Imporve Minority Outcomes? link

Experiment Platform

Contains the code for a node js app. The app builds a survey with interactive rankings from json files (see folder)

R data

Contains outputs and inputs of the R studio scripts for our research questions

User data

Contains the logs from the user experiments on Amazon Mechanical Turk. The folder names display the order of the job context (e.g. s,m,e for shopping-->moving-->event staffing) Each file is the activity log of one survey participant. The files can be aggregated using the CSVWriter notebook in the folder "Aggregated Data"-