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 displayed 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

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:


  1. The materials used for designing the study
  2. The preregistration of the study
  3. The (anonymized) data
  4. The script used to analyze the data

History

  • 2024-09-25 first online, published, posted

Publisher

4TU.ResearchData

Format

.csv, .R, .pdf

Organizations

TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centered Design
TU 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

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