cff-version: 1.2.0
abstract: "<p>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:</p><p><br></p><ol><li>The materials used for designing the study</li><li>The preregistration of the study</li><li>The (anonymized) data</li><li>The script used to analyze the data</li></ol>"
authors:
  - family-names: Yurrita Semperena
    given-names: Mireia
    orcid: "https://orcid.org/0000-0002-9685-4873"
  - family-names: Draws
    given-names: Tim
  - family-names: Balayn
    given-names: Agathe
  - family-names: Murray-Rust
    given-names: Dave
    orcid: "https://orcid.org/0000-0001-6098-7861"
  - family-names: Tintarev
    given-names: Nava
    orcid: "https://orcid.org/0000-0003-1663-1627"
  - family-names: Bozzon
    given-names: Alessandro
title: "Data underlying the paper &#34;Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability&#34; "
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/62a7ad5f-1225-4618-bd4b-1d66a3941db3.v1
license: CC BY 4.0
date-released: 2024-09-25