University Of Texas At Austin Papers

Browse 2 peer-reviewed papers from University Of Texas At Austin spanning Artificial Intelligence, Computer Science (2022–2025). Research powered by Prolific's high-quality participant data.

This page lists 2 peer-reviewed papers from researchers at University Of Texas At Austin in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

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, 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
A multisample demonstration of using the prolific platform for repeated assessment and psychometric substance use research.

Authors: K Stanton, RW Carpenter, M Nance

Year: 2022

Published in: Experimental and ..., 2022 - psycnet.apa.org

Institution: University of Missouri-Columbia, University of Texas at Austin

Research Area: Psychometric Substance Use Research, Behavioral Research Methods

Discipline: Psychology

Citations: 111