University Of Texas: Research Institution — Prolific Citations Library

Browse 6 peer-reviewed papers from University Of Texas spanning Information Systems, Behavioral Economics (2022–2025). Research powered by Prolific's high-quality participant data.

This page lists 6 peer-reviewed papers from researchers at University Of Texas in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (6 of 6)

The effect of popularity cues and peer endorsements on assertive social media ads

Authors: A Agarwal, SY Lee

Year: 2025

Published in: Information Systems ..., 2025 - pubsonline.informs.org

Institution: University of Texas

Research Area: Information Systems, Behavioral Economics, Social Media Marketing, Advertising

Discipline: Information Systems Research, Marketing, Behavioral Science

This academic article explores a specific topic within the field of Information Systems Research.

Citations: 14
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
ACM Journal on Responsible Computing | Volume 2, Number 4

Authors: J van Grunsven, N Jacobs, BA Kamphorst, M Honauer

Year: 2025

Published in: ACM Journal on, 2025 - dl.acm.org

Institution: University of Texas, Microsoft Research, Google DeepMind, Google, University of Washington, World Economic Forum

Research Area: Ethics and Governance of Computing Research, focused on Responsible Computing, Social Science Research, Artificial Intelligence.

Discipline: Ethics, Governance of Computing Research, AI Ethics

The paper emphasizes the importance of accounting for human vulnerability in the design and analysis of digital technologies, proposing concepts like 'Intimate Computing' to empower individuals in managing their technology-mediated vulnerabilities.

Methods: The study reviews and synthesizes existing literature and frameworks addressing vulnerability in human-technology interactions, including concepts like 'Intimate Computing' and 'Person-Machine Teaming'.

Key Findings: Human vulnerability in the context of digitally-mediated interactions and the role of computing frameworks in addressing them.

Citations: 2
Large language model in creative work: The role of collaboration modality and user expertise

Authors: Z Chen, J Chan

Year: 2024

Published in: Management Science, 2024 - pubsonline.informs.org

Institution: University of Texas Dallas

Research Area: Human-AI Interaction, Creative Work, Behavioral Science

Discipline: Social Science

Using large language models (LLMs) as sounding boards improves ad content quality for nonexpert users, while using LLMs as ghostwriters can negatively impact expert users due to anchoring effects.

Methods: An experiment comparing ad copy creation with and without LLM assistance, focusing on two collaboration modalities: ghostwriting and sounding board approaches. Ad performance was measured via social media click rates, supported by textual analysis.

Key Findings: Effectiveness of LLM collaboration modalities (ghostwriting vs. sounding board) on ad quality and business outcomes for expert and nonexpert users.

DOI: https://doi.org/10.1287/mnsc.2023.03014

Citations: 180
Personalization-privacy paradox in social media ads: Role of consumer-brand relationships

Authors: G Lee, JY Huh, HY Kim

Year: 2024

Published in: International Textile and Apparel ..., 2024 - iastatedigitalpress.com

Institution: University of Minnesota, Texas Tech University

Research Area: Marketing, Consumer Behavior

Discipline: Textile, Apparel Studies, Marketing, Social Science

DOI: https://doi.org/10.31274/itaa.17436

Citations: 2
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