ALGORITMI DI RACCOMANDAZIONE E MANIPOLAZIONE: UN APPROCCIO SISTEMICO ALL’ECONOMIA DELL’ATTENZIONE

This dissertation examines the pivotal role of recommendation algorithms in the attention economy, which is a framework that treats attention as a scarce and monetizable resource. The dissertation argues that these algorithms, which are used to personalize content on social media platforms and other digital spaces, can be used to manipulate users and exploit their attention for profit. By exploring the historical and theoretical underpinnings of this phenomenon, the dissertation highlights how the development of new technologies, including artificial intelligence, has transformed the way people consume and interact with information. While these algorithms offer undeniable advantages in enhancing user experience, the text underscores the inherent risks associated with their design and deployment, calling for more critical reflection and regulatory measures to mitigate their potential for abuse.