Browse 6 peer-reviewed papers from University Of Pennsylvania spanning Artificial Intelligence, Computer Science (2021–2025). Research powered by Prolific's high-quality participant data.
This page lists 6 peer-reviewed papers from researchers at University Of Pennsylvania in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: N Aldahoul, H Ibrahim, M Varvello, A Kaufman
Year: 2025
Published in: arXiv preprint arXiv ..., 2025 - arxiv.org
Institution: Delft University of Technology, University of Pennsylvania, New York University, King Abdullah University of Science and Technology, Massachusetts Institute of Technology, University of Texas at Austin
Research Area: Artificial Intelligence, Computer Science, Political Science
Discipline: Artificial Intelligence, Social Science
The study finds that Large Language Models (LLMs) exhibit extreme political views on specific topics despite appearing ideologically moderate overall, and demonstrate a persuasive influence on users' political preferences even in informational contexts.
Methods: Compared 31 LLMs' political biases against benchmarks (legislators, judges, representative voter samples) and conducted a randomized experiment to measure their persuasive impact in informational interactions.
Key Findings: Ideological consistency, political extremity, and persuasive effects of LLMs in information-seeking contexts.
Citations: 7
Sample Size: 31
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Authors: HR Kirk, M Bartolo, A Whitefield, P Rottger
Year: 2024
Published in: Advances in ..., 2024 - proceedings.neurips.cc
Institution: Meta, Cohere, AWS AI Labs, Contextual AI, Factored AI, University of Oxford, Bocconi University, Meedan, Hugging Face, University College London, ML Commons, University of Pennsylvania
Research Area: LLM Alignment, Human Feedback, Multicultural Studies
Discipline: Artificial Intelligence, Computational Social Science
The PRISM Alignment Dataset presents a large-scale, culturally diverse human feedback dataset linking sociodemographic profiles of 1,500 participants from 75 countries to their contextual preferences and fine‑grained ratings in 8,011 live conversations with 21 LLMs. This enables analysis of how subjective values vary across people and cultures in LLM alignment data.
DOI: https://doi.org/10.52202/079017-3342
Citations: 204
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Authors: P Schoenegger, P Park, E Karger, P Tetlock
Year: 2024
Published in: ArXiv
Institution: Federal Reserve Bank of Chicago, London School of Economics and Political Science, Massachusetts Institute of Technology, University of Pennsylvania
Research Area: LLM Assistants, Human Forecasting, Predictive Modeling, AI-Augmented Decision Making, Large Language Models
Discipline: Artificial Intelligence, Behavioral Science
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Authors: Mahjabin Nahar, Haeseung Seo, Eun-Ju Lee, Aiping Xiong, Dongwon Lee
Year: 2024
Published in: ArXiv
Institution: Pennsylvania State University, Seoul National University
Research Area: LLM Hallucinations, Human Perception, Warning Effects in HCI
Discipline: Artificial Intelligence, Human-Computer Interaction
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Authors: Songlin Xu, Dongyin Hu, Ru Wang, Xinyu Zhang
Year: 2023
Published in: ArXiv
Institution: University of California San Diego, University of Pennsylvania, University of Wisconsin–Madison
Research Area: Social Influence on Attention in Education, Peer Effects in Learning, Human Visual Attention
Discipline: Educational Technology, AI in Education
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Authors: Dolores Albarracin, Haesung Jung, Wen Song, Andy Tan & Jessica Fishman
Year: 2021
Published in: Nature
Institution: University of Pennsylvania
Research Area: Vaccine Uptake, Psychological Reactance, Health Behavior
Discipline: Behavioral Science, Public Health
