Data underlying the paper "Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability"
doi:10.4121/62a7ad5f-1225-4618-bd4b-1d66a3941db3.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/62a7ad5f-1225-4618-bd4b-1d66a3941db3
doi: 10.4121/62a7ad5f-1225-4618-bd4b-1d66a3941db3
Datacite citation style:
Yurrita Semperena, Mireia; Draws, Tim; Balayn, Agathe; Murray-Rust, Dave; Tintarev, Nava et. al. (2024): Data underlying the paper "Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability" . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/62a7ad5f-1225-4618-bd4b-1d66a3941db3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This projects captures fairness perceptions towards algorithmic decision-making processes with varying levels of explanations, human oversight, and contestability. 267 people participated in a crowdsourced study via Prolific. They were shown a loan approval scenario where an individual would get their loan request rejected. Each participant was assigned to a scenario with or without explanation, with or without human oversight, and with or without the right to contest the decision. The dataset includes:
- The materials used for designing the study
- The preregistration of the study
- The (anonymized) data
- The script used to analyze the data
history
- 2024-09-25 first online, published, posted
publisher
4TU.ResearchData
format
.csv, .R, .pdf
associated peer-reviewed publication
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centered DesignTU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology
TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering
Maastricht University, Department of Advanced Computing Sciences
DATA
files (6)
- 752,698 bytesMD5:
7b9527692a51efd9eb719e338961bb43
Main_study_design.pdf - 151,388 bytesMD5:
77853aa961d19c1a7efc6a35d3d19c3a
main_study_results.csv - 520,399 bytesMD5:
3adbd1b884021b5d3d25f259fd680e60
Preliminary_study_design.pdf - 25,981 bytesMD5:
65db47540e36441c4b02291abebabbd3
preliminary_study_results.csv - 530,486 bytesMD5:
4d6e390b1f64b7cac16247de661e0f00
Preregistration.pdf - 4,580 bytesMD5:
88fe7c6b7e537fa26abdb99cdf9ce7bf
statistical_analysis.R -
download all files (zip)
1,985,532 bytes unzipped