@inproceedings{hyland-etal-2026-exploring,
    title = "Exploring the Manifestation of {S}chwartz{'}s Basic Human Values in Large Language Models",
    author = "Hyland, Ryan  and
      Newsham, Lewis  and
      Prince, Daniel",
    editor = "Mitkov, Ruslan  and
      Mu{\~n}oz, Rafael  and
      Lloret, Elena  and
      Ranasinghe, Tharindu  and
      Estevanell-Valladares, Ernesto L.  and
      Lamsiyah, Salima  and
      Montoyo, Andr{\'e}s  and
      Ezzini, Saad",
    booktitle = "Proceedings of the Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security",
    month = jun,
    year = "2026",
    address = "Alicante, Spain",
    publisher = "Department of Languages and Information Systems, University of Alicante",
    url = "https://aclanthology.org/2026.nlpaics-1.21/",
    pages = "189--203",
    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."
}
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            <title>Proceedings of the Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security</title>
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            <namePart type="given">Elena</namePart>
            <namePart type="family">Lloret</namePart>
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            <namePart type="given">Tharindu</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Salima</namePart>
            <namePart type="family">Lamsiyah</namePart>
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            <namePart type="given">Andrés</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Exploring the Manifestation of Schwartz’s Basic Human Values in Large Language Models
%A Hyland, Ryan
%A Newsham, Lewis
%A Prince, Daniel
%Y Mitkov, Ruslan
%Y Muñoz, Rafael
%Y Lloret, Elena
%Y Ranasinghe, Tharindu
%Y Estevanell-Valladares, Ernesto L.
%Y Lamsiyah, Salima
%Y Montoyo, Andrés
%Y Ezzini, Saad
%S Proceedings of the Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
%D 2026
%8 June
%I Department of Languages and Information Systems, University of Alicante
%C Alicante, Spain
%F hyland-etal-2026-exploring
%X 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.
%U https://aclanthology.org/2026.nlpaics-1.21/
%P 189-203
Markdown (Informal)

[Exploring the Manifestation of Schwartz’s Basic Human Values in Large Language Models](https://aclanthology.org/2026.nlpaics-1.21/) (Hyland et al., NLPAICS 2026)

ACL