Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Sanguk, Yang, Kai-Qi, Peng, Tai-Quan, Heo, Ruth, Liu, Hui
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
by: Peng, Tai-Quan, et al.
Published: (2024)

Are Large Language Models (LLMs) Good Social Predictors?
by: Yang, Kaiqi, et al.
Published: (2024)

Embracing Dialectic Intersubjectivity: Coordination of Different Perspectives in Content Analysis with LLM Persona Simulation
by: Kang, Taewoo, et al.
Published: (2025)

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods
by: Peng, Tai-Quan, et al.
Published: (2025)

Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
by: Wu, Sirui, et al.
Published: (2025)

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

Mitigating Social Desirability Bias in Random Silicon Sampling
by: Chapala, Sashank, et al.
Published: (2025)

How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses
by: Urchs, Stefanie, et al.
Published: (2023)

Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models
by: Gulati, Aditya, et al.
Published: (2025)

Crafting Desirable Climate Trajectories with RL Explored Socio-Environmental Simulations
by: Rudd-Jones, James, et al.
Published: (2024)

Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
by: Yang, Kai-Cheng, et al.
Published: (2023)

Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
by: Liu, Yiran, et al.
Published: (2024)

Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
by: Lin, Yi-Cheng, et al.
Published: (2024)

Quantifying Gender Bias in Large Language Models: When ChatGPT Becomes a Hiring Manager
by: Gerszberg, Nina, et al.
Published: (2026)

Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context
by: Pandey, Ashish, et al.
Published: (2026)

Exploring Large Language Model Agents for Piloting Social Experiments
by: Piao, Jinghua, et al.
Published: (2025)

Mutual Wanting in Human--AI Interaction: Empirical Evidence from Large-Scale Analysis of GPT Model Transitions
by: Shang, HaoYang, et al.
Published: (2025)

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
by: Fleisig, Eve, et al.
Published: (2024)

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)

Evaluation of Bias Towards Medical Professionals in Large Language Models
by: Chen, Xi, et al.
Published: (2024)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)

Social Policy of Large Language Models: How GPT, Claude, DeepSeek and Grok Allocate Social Budgets in Spain and Germany
by: Cantos, Claudia Benavides, et al.
Published: (2026)

Understanding Online Behaviors through a Temporal Lens
by: Peng, Tai-Quan, et al.
Published: (2023)

ESG Beliefs of Large Language Models: Evidence and Impact
by: Li, Tong, et al.
Published: (2025)

Inference-Time Reasoning Selectively Reduces Implicit Social Bias in Large Language Models
by: Apsel, Molly, et al.
Published: (2026)

Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios
by: Tan, Bryan Chen Zhengyu, et al.
Published: (2025)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)

Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
by: Yang, Fengze, et al.
Published: (2025)

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
by: Mou, Xinyi, et al.
Published: (2024)

$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
by: Jiang, Yukun, et al.
Published: (2024)

Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
by: Lee, S., et al.
Published: (2023)

Characterizing Selective Refusal Bias in Large Language Models
by: Khorramrouz, Adel, et al.
Published: (2025)

Gender Bias in Emotion Recognition by Large Language Models
by: Herbert, Maureen, et al.
Published: (2025)

Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)

Can GPT-4 Models Detect Misleading Visualizations?
by: Alexander, Jason, et al.
Published: (2024)

Math anxiety and associative knowledge structure are entwined in psychology students but not in Large Language Models like GPT-3.5 and GPT-4o
by: Ciringione, Luciana, et al.
Published: (2025)

UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
by: Geng, Mingmeng, et al.
Published: (2024)

Exploring ChatGPT's Capabilities, Stability, Potential and Risks in Conducting Psychological Counseling through Simulations in School Counseling
by: Ni, Yang, et al.
Published: (2025)

Measuring Implicit Bias in Explicitly Unbiased Large Language Models
by: Bai, Xuechunzi, et al.
Published: (2024)