2023

Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Li, Chao, Su, Xing, Han, Haoying et al.

Understand

The process of opinion expression and exchange is a critical component of democratic societies.

  • As people interact with large language models (LLMs) in the opinion shaping process different from traditional media, the impacts of LLMs are increasingly recognized and being concerned.
  • However, the knowledge about how LLMs affect the process of opinion expression and exchange of social opinion networks is very limited.
  • Here, we create an opinion network dynamics model to encode the opinions of LLMs, cognitive acceptability and usage strategies of individuals, and simulate the impact of LLMs on opinion dynamics in a variety of scenarios.

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