Exploring the Manifestation of Schwartz’s Basic Human Values in Large Language Models

Hyland, Ryan and Newsham, Lewis and Prince, Daniel (2026) Exploring the Manifestation of Schwartz’s Basic Human Values in Large Language Models. In: Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security, 2026-06-11 - 2026-06-12.

[thumbnail of SCHWARTZ_NLPAICS_2026]
Text (SCHWARTZ_NLPAICS_2026)
SCHWARTZ_NLPAICS_2026.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (11MB)

Abstract

This study investigates the manifestation of Schwartz's Theory of Basic Human Values (STBV) within a pre-trained Large Language Model (LLM) by evaluating how persona prompting influences the model's responses. Specifically, we use prompt-based persona induction to represent Schwartz’s ten broad value types (e.g., Universalism, Achievement) and measure their effects using the model’s responses to the Portrait Values Questionnaire Revised (PVQ-RR). A neutral persona and human baseline serve as control conditions to assess the influence of persona prompting. Prompting strategies are also compared. Results show that value-based persona prompts systematically shift the model’s PVQ-RR response profiles, indicating that LLM questionnaire responses can be steered along Schwartz value dimensions under controlled prompting conditions. These findings suggest that value-based persona prompts may be useful for studying and configuring the expressed response profiles of LLM-based agents. Using Schwartz’s values as a structured measurement framework provides a way to evaluate how LLM responses change under persona prompting and offers a basis for future studies of value-conditioned agent behaviour.

Item Type:
Contribution to Conference (Paper)
Journal or Publication Title:
Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
ID Code:
238005
Deposited By:
Deposited On:
16 Jun 2026 10:46
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jun 2026 10:46