University Of Pennsylvania: Research Institution — Prolific Citations Library

Browse 6 peer-reviewed papers from University Of Pennsylvania spanning Artificial Intelligence, Computers and Society (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.

Papers (6 of 6)

Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts

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, Computers and Society, 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
The PRISM alignment dataset: What participatory, representative and individualised human feedback reveals about the subjective and multicultural alignment of large ...

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
AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy

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, LLM

Discipline: Artificial Intelligence, Behavioral Science
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations

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 (HCI)
Peer attention enhances student learning

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
Rather than inducing psychological reactance, requiring vaccination strengthens intentions to vaccinate in US populations

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