Algorithmic curation can trap users in narrow ideological bubbles.
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This paper synthesizes three major theoretical frameworks to analyze this domain: Algorithmic curation can trap users in narrow ideological
Algorithms analyze viewing habits to determine which genres, actors, and plotlines minimize churn and maximize engagement. This leads to risk-averse "algorithmic genres" (e.g., true crime docuseries, nostalgic reboots) and the "Netflix-ification" of content—a homogenized global aesthetic designed to appeal across cultures. Furthermore, the consolidation of media ownership (Disney, Warner Bros. Discovery, Comcast, and Netflix) means that a handful of conglomerates decide which stories are told. Independent, politically radical, or formally experimental entertainment struggles to survive in an ecosystem optimized for the "bingeable." This leads to risk-averse "algorithmic genres" (e
From the billion-dollar cinematic universes of Marvel to the niche corners of TikTok and the algorithmic rabbit holes of Spotify, represent the most powerful force in the 21st-century attention economy. But to understand where this force is taking us, we must first dissect its anatomy: how it is made, how it is consumed, and how it is rewriting the rules of society.
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