Cover Image

Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rupprecht, Jens, Ahnert, Georg, Strohmaier, Markus
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computers and Society J.4
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
by: Rupprecht, Jens, et al.
Published: (2025)

QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models
by: Kreutner, Maximilian, et al.
Published: (2025)

Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
by: Ahnert, Georg, et al.
Published: (2025)

Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models
by: Ahnert, Georg, et al.
Published: (2024)

Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One
by: Li, Tianlin, et al.
Published: (2024)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)

Imitating AI agents increase diversity in homogeneous information environments but can reduce it in heterogeneous ones
by: Johansen, Emil Bakkensen, et al.
Published: (2025)

Characterization of Political Polarized Users Attacked by Language Toxicity on Twitter
by: Xu, Wentao
Published: (2024)

The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models
by: Lutz, Marlene, et al.
Published: (2025)

PromptAug: Fine-grained Conflict Classification Using Data Augmentation
by: Warke, Oliver, et al.
Published: (2025)

Simulating Misinformation Propagation in Social Networks using Large Language Models
by: Maurya, Raj Gaurav, et al.
Published: (2025)

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

The Three Social Dimensions of Chatbot Technology
by: Figueroa-Torres, Mauricio
Published: (2024)

Large language models can replicate cross-cultural differences in personality
by: Niszczota, Paweł, et al.
Published: (2023)

PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)

Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
by: Xiao, Mengxi, et al.
Published: (2024)

Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups
by: Magu, Rijul, et al.
Published: (2025)

AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
by: von der Heyde, Leah, et al.
Published: (2025)

How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language
by: Daepp, Madeleine I. G., et al.
Published: (2026)

Large Language Models Develop Novel Social Biases Through Adaptive Exploration
by: Wu, Addison J., et al.
Published: (2025)

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
by: Simons, Arno, et al.
Published: (2025)

The Qualitative Laboratory: Theory Prototyping and Hypothesis Generation with Large Language Models
by: Draelants, Hugues
Published: (2025)

No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy
by: Wilson, Kyra, et al.
Published: (2025)

Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
by: Christian, Brian, et al.
Published: (2026)

Rejected Dialects: Biases Against African American Language in Reward Models
by: Mire, Joel, et al.
Published: (2025)

The End of the Foundation Model Era: Open-Weight Models, Sovereign AI, and Inference as Infrastructure
by: Grogan, Jared James
Published: (2026)

"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)

Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)

Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)

Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights
by: Malekzadeh, Milad, et al.
Published: (2024)

Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)

Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses
by: Kang, Bongsu, et al.
Published: (2025)

Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
by: Campos-Castillo, Celeste, et al.
Published: (2025)

The Price of Prompting: Profiling Energy Use in Large Language Models Inference
by: Husom, Erik Johannes, et al.
Published: (2024)

LLMbench: A Comparative Close Reading Workbench for Large Language Models
by: Berry, David M.
Published: (2026)

The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding
by: Qian, Yifan, et al.
Published: (2026)

A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
by: Aljohani, Manar, et al.
Published: (2025)

Large Language Models in Politics and Democracy: A Comprehensive Survey
by: Aoki, Goshi
Published: (2024)

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
by: Salinas, Abel, et al.
Published: (2023)