Plasmon Resonance Model: Investigation of Analysis of Fake News Diffusion Model with Third Mover Intervention Using Soliton Solution in Non-Complete Information Game under Repeated Dilemma Condition
<|reference_start|>Plasmon Resonance Model: Investigation of Analysis of Fake News Diffusion Model with Third Mover Intervention Using Soliton Solution in Non-Complete Information Game under Repeated Dilemma Condition: In this research note, we propose a new approach to model the fake news diffusion process within the framework of incomplete information games. In particular, we use nonlinear partial differential equations to represent the phenomenon of plasmon resonance, in which the diffusion of fake news is rapidly amplified within a particular social group or communication network, and analyze its dynamics through a soliton solution approach. In addition, we consider how first mover, second mover, and third mover strategies interact within this nonlinear system and contribute to the amplification or suppression of fake news diffusion. The model aims to understand the mechanisms of fake news proliferation and provide insights into how to prevent or combat it. By combining concepts from the social sciences and the physical sciences, this study attempts to develop a new theoretical framework for the contemporary problem of fake news.This paper is partially an attempt to utilize "Generative AI" and was written with educational intent. There are currently no plans for it to become a peer-reviewed paper.<|reference_end|>
@article{kawahata2024plasmon,
    title={Plasmon Resonance Model: Investigation of Analysis of Fake News
  Diffusion Model with Third Mover Intervention Using Soliton Solution in
  Non-Complete Information Game under Repeated Dilemma Condition},
    author={Yasuko Kawahata},
    journal={arXiv preprint arXiv:2403.05585},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.05585},
    primaryClass={physics.soc-ph cs.AI}
}