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arXiv — NLP / Computation & Language · · 3 min read

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

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Computer Science > Computation and Language

arXiv:2605.17694 (cs)
[Submitted on 17 May 2026]

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

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Abstract: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) linguistic 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.
Comments: ACL 2026 (main)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2605.17694 [cs.CL]
  (or arXiv:2605.17694v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.17694
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Anvesh Rao Vijjini [view email]
[v1] Sun, 17 May 2026 23:23:45 UTC (700 KB)
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