Transparency: Research Area — Prolific Citations Library

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.

Papers (6 of 6)

Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting

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
How do citizens perceive the use of Artificial Intelligence in public sector decisions?

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
Human participants in AI research: Ethics and transparency in practice

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 (HCI), Research Practice Transparency

Discipline: AI Ethics, Human-Computer Interaction (HCI)

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
Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use

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 (HCI)

DOI: https://dl.acm.org/doi/abs/10.1145/3687005

Citations: 9
Cue to Trust? Investigating the Impact of Political Advertising Transparency Disclaimers on Citizen Trust Evaluations

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
Transparency Fallacy: Perceived Fairness in Algorithmic Management: M. Mirbabaie et al.

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 (HCI)

Discipline: Business, Information Systems

Citations: 2