OTT Platforms From the Perspective of Critical Algorithm Studies

Abstract

The perspective of critical algorithm studies, which focuses on the concerns that algorithmic mechanisms create or may create in the individual and social context emphasizes that it is important to examine the position of individuals who are currently using recommender systems. Recommender systems are one of the algorithmic structures aimed at keeping users constantly connected and interacting on digital platforms. It is thought that the digital togetherness enabled by media convergence necessitates a focus on recommendation systems within the data cycle of the digital platform ecosystem. This chapter attempts to focus on the effects at the intersection of algorithmic and social structures and problematize these effects in the context of OTT platforms within the framework of current concepts. Hence, the chapter focuses on describing the current state and potential concerns of personalization algorithms and recommendation systems on OTT platforms in relation to the basic conceptualizations of critical algorithm studies in the context of human-algorithm interaction.