Browse 6 peer-reviewed papers from University Of Copenhagen spanning Information Systems Ethics, Reinforcement Learning for Personalization (2023–2025). Research powered by Prolific's high-quality participant data.
This page lists 6 peer-reviewed papers from researchers at University Of Copenhagen in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: T Greene, G Shmueli, S Ray
Year: 2025
Published in: Journal of the Association for ..., 2023 - aisel.aisnet.org
Institution: National Tsing Hua University, Copenhagen Business School
Research Area: Information Systems Ethics, Reinforcement Learning for Personalization
Discipline: Information Systems
The paper examines the ethical risks of reinforcement learning-based personalization and proposes three research directions for IS scholars to address its societal implications and inadequacies in existing regulations.
Methods: The study presents a conceptual analysis of emergent features and societal risks associated with reinforcement learning-based personalization and proposes research directions.
Key Findings: Potential harms of reinforcement learning-based personalization, such as reduced autonomy, social and political destabilization, and mass surveillance, alongside the limitations of current data protection laws.
DOI: https://aisel.aisnet.org/jais/vol24/iss6/6
Citations: 33
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Authors: AG Møller, DM Romero, D Jurgens
Year: 2025
Published in: arXiv preprint arXiv ..., 2025 - arxiv.org
Institution: University of Copenhagen, University of Michigan, Pioneer Centre for AI
Research Area: Generative AI, Social Media, Human-Computer Interaction
Discipline: Computational Social Science
Generative AI tools on social media increase user engagement and content volume but reduce perceived quality and authenticity in discussions, highlighting challenges for ethical integration.
Methods: Controlled experiment with participants assigned to small discussion groups under distinct AI-assisted treatment conditions including chat assistance, conversation starters, feedback on comment drafts, and reply suggestions.
Key Findings: Impact of generative AI tools on user behavior, engagement, content volume, perceived quality, and authenticity in social media interactions.
DOI: https://doi.org/10.48550/arXiv.2506.14295
Citations: 9
Sample Size: 680
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Authors: J Goergen, E de Bellis, AK Klesse
Year: 2025
Published in: ... of the National Academy of Sciences, 2025 - pnas.org
Institution: Cologne Business School, Maastricht University School of Business and Economics, Tilburg University, Copenhagen Business School
Research Area: Psychology of AI and Organizational Behavior
Discipline: Organizational Behavior, Psychology of AI
AI assessments lead people to emphasize analytical characteristics in their self-presentation, which could change hiring outcomes and compromise assessment validity.
Methods: Examined behaviors in candidate selection contexts to assess how people adapt their self-presentation under AI evaluation.
Key Findings: Changes in self-presentation and perceived traits emphasized during AI assessments compared to traditional evaluations.
Citations: 4
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Authors: JD Brüns, M Meißner
Year: 2024
Published in: Journal of Retailing and Consumer Services, 2024 - Elsevier
Institution: Copenhagen Business School, University of Southern Denmark
Research Area: Generative AI in Social Media Marketing, Brand Authenticity, Consumer Services
Discipline: Marketing
Using generative artificial intelligence (GenAI) for social media content creation diminishes perceived brand authenticity, leading to negative follower reactions unless GenAI is used to assist humans rather than replace them.
Methods: Three experimental studies investigating consumer perceptions and reactions toward brand disclosure of GenAI usage in content creation.
Key Findings: Followers' attitudinal and behavioral reactions, mediated by perceptions of brand authenticity.
DOI: https://doi.org/10.1016/j.jretconser.2024.103790
Citations: 235
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Authors: C Velasco, F Barbosa Escobar, C Spence, JS Olier
Year: 2023
Published in: Science Direct
Institution: Aarhus University, BI Norwegian Business School, Tilburg University, University of Copenhagen, University of Oxford
Research Area: Food Science
Discipline: Experimental Psychology, Food Science
Citations: 29
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Authors: C Demircan, T Saanum, L Pettini
Year: 2023
Published in: Advances in ..., 2024 - proceedings.neurips.cc
Institution: Copenhagen University Hospital, University of Copenhagen, Technical University of Denmark
Research Area: Neural Network Alignment, Human Cognition, Image-Based Learning
Discipline: Artificial Intelligence, Cognitive Science
DOI: https://doi.org/10.52202/079017-3890
Citations: 8
