The Algorithmic Lifeworld: A Multidimensional Analysis of Human Agency

his study aims to redefine the concept of human agency within the algorithmic lifeworld. The central problem addresses how human agency should be understood and articulated in an environment where human experience is continuously datafied and represented through algorithms, platforms, and recommendation systems. Drawing on a systematic critical literature review and metatheoretic synthesis, the paper integrates pivotal works across network society, algorithmic power, data colonialism, algorithmic literacy, the digital divide, and digital eternity into a unified theoretical framework. Analytical findings indicate that human agency in the algorithmic order is neither eliminated nor preserved in its classical, autonomous form; rather, it is reconfigured into three distinct modes: "mediated," "distributed," and "feedback-driven" agency. Accordingly, the algorithmic lifeworld is defined as a socio-cognitive structure wherein humans, data, and algorithms engage in a continuous cycle of data generation, processing, perceptual representation, identity formation, and action reproduction. The conclusion emphasizes the urgent need for developing algorithmic literacy, platform transparency, robust data governance, and legal re-evaluations concerning digital identity and digital heritage.