News Recommendation and Information Cocoons: The Impact of Algorithms on News Consumption

This chapter examines algorithmic news recommendation that caters to individual preferences. It aims to illuminate the renewed relationship between media and news audience with algorithmic processes and to explore the impact that such a relationship entails. The chapter dissects the phenomenon of algorithm-based news recommendation and analyzes the effects that algorithmic news consumption may have on audiences. It intends to raise awareness and inform the public, technocrats, and policy makers of the impact of such news consumption and guide debate on ethical decision-making and possible policy change.