Discover 6 peer-reviewed studies in Transparency (2022–2024). Explore research findings powered by Prolific's diverse participant panel.
This page lists 6 peer-reviewed papers in the research area of Transparency in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: J Ochmann, L Michels, V Tiefenbeck
Year: 2024
Published in: Information Systems ..., 2024 - Wiley Online Library
Institution: University of St. Gallen, Technische Universität München, ETH Zürich
Research Area: Algorithmic Fairness in Recruiting, Human-Algorithm Interaction, Transparency, Anthropomorphism.
Discipline: Information Systems
The study explores how transparency and anthropomorphism influence applicants' perceptions of algorithmic fairness in recruiting, revealing justice dimensions that shape these perceptions.
Methods: An online application scenario with eight experimental groups analyzing fairness perceptions using a stimulus-organism-response framework and organizational justice theory.
Key Findings: Perceptions of algorithmic fairness based on justice dimensions (procedural, distributive, interpersonal, and informational justice) and the impact of transparency and anthropomorphism interventions.
DOI: https://doi.org/10.1111/isj.12482
Citations: 65
Sample Size: 801
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Authors: T Haesevoets, B Verschuere, R Van Severen
Year: 2024
Published in: Government Information ..., 2024 - Elsevier
Institution: Ghent University, KU Leuven
Research Area: Public Sector AI, Citizen Perception, AI Ethics, Transparency
Discipline: Political Science, Public Administration
Citizens in the UK prefer AI to play a supporting role in public sector decisions rather than making decisions autonomously, with greater acceptance for low ideologically-charged contexts.
Methods: Three studies surveying UK respondents on their perceptions of AI involvement in public sector decision-making.
Key Findings: Perception of AI's role in decision-making, its legitimacy compared to human decision-makers, and suitability for various types of decisions.
DOI: https://doi.org/10.1016/j.giq.2023.101906
Citations: 54
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Authors: KR McKee
Year: 2024
Published in: IEEE Transactions on Technology and Society, 2024 - ieeexplore.ieee.org
Institution: University of Queensland
Research Area: AI Ethics, Human-Computer Interaction, Research Practice Transparency
Discipline: AI Ethics, Human-Computer Interaction
The paper identifies ethical and transparency gaps in AI research involving human participants and proposes guidelines to address these issues, drawing from adjacent fields like psychology and human-computer interaction while recognizing unique challenges in AI contexts.
Methods: Analyzed normative practices by reviewing AI research publications and compared them with ethical standards in adjacent fields such as psychology and HCI.
Key Findings: Ethical practices including ethical reviews, informed consent, participant compensation, and contextual considerations specific to AI research.
DOI: https://ieeexplore.ieee.org/abstract/document/10664609/
Citations: 17
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Authors: A Berke, R Mahari, A Pentland, K Larson
Year: 2024
Published in: Proceedings of the ACM ..., 2024 - dl.acm.org
Institution: Stanford's CodeX Center, Harvard Law School, MIT Media Lab, Stanford Institute for Human-Centered AI, The Larson Institute, Massachusetts Institute of Technology, Stanford University
Research Area: Crowdsourcing, Transparency, Human-Computer Interaction (HCI) in Social Science Research
Discipline: Computational Social Science, Human-Computer Interaction
DOI: https://dl.acm.org/doi/abs/10.1145/3687005
Citations: 9
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Authors: HC Gordon, T Stafford, K Dommett
Year: 2024
Published in: ... of the Annual Meeting of the ..., 2024 - escholarship.org
Institution: University of California, Irvine, University of New York, Buffalo, University of Bath
Research Area: Political Advertising, Trust, Political Communication, Transparency
Discipline: Political Science, Communication
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Authors: M Mirbabaie, M Langer, J Rieskamp
Year: 2022
Published in: Business & Information ..., 2025 - Springer
Research Area: Algorithmic Management (AM), Perceived Fairness, Transparency, Human-Computer Interaction
Discipline: Business, Information Systems
Citations: 2
