• Yonit Gupta

The research investigates how technological advancement enables businesses to use emotional nostalgia as a marketing tool and psychological control system. The research extends previous work on oral storytelling and memory preservation through technology to study how AI systems and social media platforms and marketing algorithms use memory manipulation for cultural identity formation and consumer control. The research shows how nostalgia transitioned from its historical function as a generational bond into a global economic force which influences consumer actions and political opinions and social hierarchy. The research investigates how technology interacts with emotional responses and economic systems to reveal ethical dilemmas about maintaining authentic cultural content in a world where memory becomes commercialized.

Digital Nostalgia; False Nostalgia; Oral Narratives; Mediated Memory; Cultural Identity Formation; Collective Memory; Emotional Manipulation; Media Psychology; Technological Transformation of Culture; Digital Amnesia (Google Effect); Nostalgia Marketing; Ethical Media Design

"Impact of Technology on Oral Narratives and the Rise of False Nostalgia: Selling the Past to the Future — Digital Nostalgia and the New Marketing Economy How do technological advancements shape oral narratives and contribute to false nostalgia in contemporary society?", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.d184-d193, October-2025, Available :http://www.jetir.org/papers/JETIR2510325.pdf

"Impact of Technology on Oral Narratives and the Rise of False Nostalgia: Selling the Past to the Future — Digital Nostalgia and the New Marketing Economy How do technological advancements shape oral narratives and contribute to false nostalgia in contemporary society?", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppd184-d193, October-2025, Available at : http://www.jetir.org/papers/JETIR2510325.pdf