TY - DATA
T1 - Data underlying the paper "Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability" 
PY - 2024/09/25
AU - Mireia Yurrita Semperena
AU - Tim Draws
AU - Agathe Balayn
AU - Dave Murray-Rust
AU - Nava Tintarev
AU - Alessandro Bozzon
UR - 
DO - 10.4121/62a7ad5f-1225-4618-bd4b-1d66a3941db3.v1
KW - explanations
KW - human oversight
KW - contestability
KW - fairness perceptions
KW - algorithmic decision-making
N2 - <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>
ER -