Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?

Fuente: arXiv
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Autores principales: Vijjini, Anvesh Rao, Manjunath, Sagar, Chaturvedi, Snigdha
Formato: Preprint
Publicado: 2026
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author Vijjini, Anvesh Rao
Manjunath, Sagar
Chaturvedi, Snigdha
author_facet Vijjini, Anvesh Rao
Manjunath, Sagar
Chaturvedi, Snigdha
contents Power differences shape human communication through well documented socio cognitive effects, including language coordination, pronoun usage, authority bias, and harmful compliance. We examine whether large language models (LLMs) exhibit similar behaviors when assigned high or low status personas. Using personas from diverse professions, we simulate multi turn, power asymmetric dialogues (e.g., principal teacher, justice lawyer) and measure (i) language coordination, (ii) pronoun usage, (iii) persuasion success, and (iv) compliance with unsafe requests. Our results show that LLMs show key socio-cognitive effects of power, albeit with nuances and variability, linking simulated interactions to both desirable and unsafe behaviors.
format Preprint
id arxiv_https___arxiv_org_abs_2605_17694
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
Vijjini, Anvesh Rao
Manjunath, Sagar
Chaturvedi, Snigdha
Computation and Language
Power differences shape human communication through well documented socio cognitive effects, including language coordination, pronoun usage, authority bias, and harmful compliance. We examine whether large language models (LLMs) exhibit similar behaviors when assigned high or low status personas. Using personas from diverse professions, we simulate multi turn, power asymmetric dialogues (e.g., principal teacher, justice lawyer) and measure (i) language coordination, (ii) pronoun usage, (iii) persuasion success, and (iv) compliance with unsafe requests. Our results show that LLMs show key socio-cognitive effects of power, albeit with nuances and variability, linking simulated interactions to both desirable and unsafe behaviors.
title Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
topic Computation and Language
url https://arxiv.org/abs/2605.17694