research-article

Algorithmic Mediation in Group Decisions: Fairness Perceptions of Algorithmically Mediated vs. Discussion-Based Social Division

Authors:

Su BaykalAuthors Info & Claims

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 1035 - 1048

https://doi.org/10.1145/2998181.2998230

Published: 25 February 2017 Publication History

Abstract

How do individuals perceive algorithmic vs. group-made decisions? We investigated people's perceptions of mathematically-proven fair division algorithms making social division decisions. In our first qualitative study, about one third of the participants perceived algorithmic decisions as less than fair (30% for self, 36% for group), often because algorithmic assumptions about users did not account for multiple concepts of fairness or social behaviors, and the process of quantifying preferences through interfaces was prone to error. In our second experiment, algorithmic decisions were perceived to be less fair than discussion-based decisions, dependent on participants' interpersonal power and computer programming knowledge. Our work suggests that for algorithmic mediation to be fair, algorithms and their interfaces should account for social and altruistic behaviors that may be difficult to define in mathematical terms.

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Cited By

Nguyen TAlam SHu CAlbiston CSalehi N(2024)Definitions of Fairness Differ Across Socioeconomic Groups & Shape Perceptions of Algorithmic DecisionsProceedings of the ACM on Human-Computer Interaction10.1145/36870588:CSCW2(1-31)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687058
Palea DGuo ANair AAnderson RCharagulla NSu NLee D(2024)Forming Shared Interest Pods: Barriers to Self-Assembly of Interest-Based Small Groups, and Dynamics of Retaining and Giving up Control to Find Collective FitProceedings of the ACM on Human-Computer Interaction10.1145/36869848:CSCW2(1-50)Online publication date: 8-Nov-2024
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Index Terms

Algorithmic Mediation in Group Decisions: Fairness Perceptions of Algorithmically Mediated vs. Discussion-Based Social Division
1. Human-centered computing

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cover image ACM Conferences

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

2556 pages

ISBN:9781450343350

DOI:10.1145/2998181

General Chairs:
Charlotte P. Lee
University of Washington
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Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
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Marcos Borges
Universidade Federal do Rio de Janeiro
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Wendy Kellogg
IBM T.J. Watson Research Center

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Published: 25 February 2017

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CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

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CSCW '17 Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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https://dl.acm.org/doi/10.1145/3687058
Palea DGuo ANair AAnderson RCharagulla NSu NLee D(2024)Forming Shared Interest Pods: Barriers to Self-Assembly of Interest-Based Small Groups, and Dynamics of Retaining and Giving up Control to Find Collective FitProceedings of the ACM on Human-Computer Interaction10.1145/36869848:CSCW2(1-50)Online publication date: 8-Nov-2024
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