AI RESEARCH
Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
arXiv CS.CL
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ArXi:2605.17694v1 Announce Type: new 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 (i) compliance with unsafe requests.