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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.</abstract>
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%0 Conference Proceedings
%T Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
%A Vijjini, Anvesh Rao
%A Manjunath, Sagar B.
%A Chaturvedi, Snigdha
%Y Liakata, Maria
%Y Moreira, Viviane P.
%Y Zhang, Jiajun
%Y Jurgens, David
%S Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-390-6
%F vijjini-etal-2026-llm
%X 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.
%U https://aclanthology.org/2026.acl-long.2202/
%P 47676-47701

Markdown (Informal)

[Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?](https://aclanthology.org/2026.acl-long.2202/) (Vijjini et al., ACL 2026)

• Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations? (Vijjini et al., ACL 2026)

ACL

• Anvesh Rao Vijjini, Sagar B. Manjunath, and Snigdha Chaturvedi. 2026. Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 47676–47701, San Diego, California, United States. Association for Computational Linguistics.