Artificial Intelligence, Cultural Identity, and Algorithmic Representation: A Comparative Analysis of Digital Media Governance in Japan and the United States
Abstract
The rapid expansion of artificial intelligence technologies within digital media ecosystems has transformed contemporary processes of cultural representation, identity formation, and public communication. Algorithmically mediated platforms increasingly shape how cultural narratives circulate, how visibility is distributed, and how individuals negotiate social belonging within digitally networked societies. This article investigates how artificial intelligence-driven media systems influence cultural identity and algorithmic representation through a comparative analysis of Japan and the United States. Although both countries possess globally influential digital industries and advanced technological infrastructures, they demonstrate significantly different cultural traditions, governance models, and media communication environments.
Drawing on digital humanities, cultural sociology, media studies, and comparative institutional analysis, this study examines how algorithmic systems mediate cultural visibility, symbolic power, and identity politics within contemporary digital societies. The findings demonstrate that artificial intelligence-driven communication environments are not culturally neutral technologies but socio-technical systems shaped by institutional governance, commercial incentives, historical narratives, and cultural norms. In Japan, algorithmic media environments are strongly influenced by collectivist communication traditions, platform moderation cultures, and hybrid forms of digital participation emphasizing social harmony and mediated anonymity. In the United States, digital media ecosystems operate within highly individualized and commercially competitive communication structures characterized by ideological polarization, expressive identity politics, and platform-driven visibility economies.
This article contributes to contemporary social sciences and humanities scholarship by integrating digital humanities, cultural theory, and comparative media governance analysis to explain how artificial intelligence reshapes cultural representation and public legitimacy within networked societies. The study further develops a conceptual framework linking algorithmic visibility, identity construction, institutional mediation, and socio-cultural outcomes in contemporary digital public spheres.
