arXiv Computation and Language August 31, 2026 By Anvesh Rao Vijjini, Sagar Manjunath, Snigdha Chaturvedi

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

Read the original on arXiv Computation and Language →

The paper investigates whether large language models (LLMs) replicate socio‑cognitive effects of power asymmetry observed in human communication. By assigning high or low status personas to LLMs in simulated multi‑turn dialogues across diverse professions, the study measures language coordination, pronoun usage, persuasion success, and compliance with unsafe requests. Results indicate that LLMs exhibit key power‑related socio‑cognitive behaviors, though with nuances and variability, linking these simulated interactions to both desirable and unsafe outcomes.

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