FairSpace: An Interactive Visualization System for Constructing Fair Consensus from Many Rankings

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dc.contributor.authorShrestha, Hilsonen_US
dc.contributor.authorCachel, Kathleenen_US
dc.contributor.authorALKHATHLAN, MALLAKen_US
dc.contributor.authorRundensteiner, Elkeen_US
dc.contributor.authorHarrison, Laneen_US
dc.contributor.editorAigner, Wolfgangen_US
dc.contributor.editorAndrienko, Nataliaen_US
dc.contributor.editorWang, Beien_US
dc.date.accessioned2025-05-26T06:38:23Z
dc.date.available2025-05-26T06:38:23Z
dc.date.issued2025
dc.description.abstractDecisions involving algorithmic rankings affect our lives in many ways, from product recommendations, receiving scholarships, to securing jobs. While tools have been developed for interactively constructing fair consensus rankings from a handful of rankings, addressing the more complex real-world scenario- where diverse opinions are represented by a larger collection of rankings- remains a challenge. In this paper, we address these challenges by reformulating the exploration of rankings as a dimension reduction problem in a system called FairSpace. FairSpace provides new views, including Fair Divergence View and Cluster Views, by juxtaposing fairness metrics of different local and alternative global consensus rankings to aid ranking analysis tasks.We illustrate the effectiveness of FairSpace through a series of use cases, demonstrating via interactive workflows that users are empowered to create local consensuses by grouping rankings similar in their fairness or utility properties, followed by hierarchically aggregating local consensuses into a global consensus through direct manipulation. We discuss how FairSpace opens the possibility for advances in dimension reduction visualization to benefit the research area of supporting fair decision-making in ranking based decision-making contexts. Code, datasets and demo video available at: osf.io/d7cwken_US
dc.description.sectionheadersInclusive Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.identifier.doi10.1111/cgf.70132
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70132
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70132
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization systems and tools; Interactive systems and tools
dc.subjectHuman centered computing → Visualization systems and tools
dc.subjectInteractive systems and tools
dc.titleFairSpace: An Interactive Visualization System for Constructing Fair Consensus from Many Rankingsen_US
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