FairExpKap Python Methods
This repository contains code and for performing fair exposure kemeny rank aggregation, using the methodology presented in the paper: Fairer Together: Mitigating Disparate Exposure in Kemeny Aggregation.
FairFuse: User Study
This repository contains code for replicating the user study presented in the paper: Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
FairFuse: Visual Interface
This repository contains code and the visualizatation system presented in the paper: FairFuse: Interactive Visual Support for Fair Consensus Ranking.
FINS Python Package
This repository contains code and example analysis for evaluating the fairness of subset selections with respect to protected groups, using the auditing methodology presented in the paper: FINS Auditing Framework: Group Fairness for Subset Selections.
MANIRANK Python Methods
This repository contains code and for performing fair rank aggregation, using the methodology presented in the paper: MANI-RANK: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking.
FARE Python Package
This repository contains code and example analysis for evaluating the fairness of rankings with respect to protected groups, using the pairwise error metrics and auditing methodology presented in the paper: FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics.