Data-Driven Trends vs. Organic Subcultures
This article critically compares data-driven fashion trends – shaped by algorithms, big data, and predictive analytics – with organically emerging subcultures rooted in lived experience. Drawing on economic, anthropological, sociological, political, and philosophical perspectives, it surveys historic subcultural fashion movements (e.g. zoot-suiters, punk, hip-hop) alongside the rise of algorithmic forecasting (e.g. WGSN, AI-driven buyer tools). …