  This paper presents an interdisciplinary approach to analyze the emergence
and impact of filter bubbles in social phenomena, especially in both digital
and offline environments, by applying the concepts of quantum field theory.
Filter bubbles tend to occur in digital and offline environments, targeting
digital natives with extremely low media literacy and information immunity. In
addition, in the aftermath of stealth marketing, fake news, "inspirational
marketing," and other forms of stealth marketing that never exist are rampant
and can lead to major social disruption and exploitation. These are the causes
of various social risks, including declining information literacy and knowledge
levels and academic achievement. By exploring quantum mechanical principles
such as remote interaction, proximity interaction, Feynman diagrams, and loop
diagrams, we aim to gain a better understanding of information dissemination
and opinion formation in social contexts. Our model incorporates key parameters
such as agents' opinions, interaction probabilities, and flexibility in
changing opinions, facilitating the observation of opinion distributions,
cluster formation, and polarization under a variety of conditions. The purpose
of this paper is to mathematically model the filter bubble phenomenon using the
concepts of quantum field theory and to analyze its social consequences. This
is a discussion paper and the proposed approach offers an innovative
perspective for understanding social phenomena, but its interpretation and
application require careful consideration. 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.
