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This paper examines the evolution of audience engagement within contemporary entertainment content, focusing on the intersection of transmedia storytelling and algorithmic curation. While early scholarship celebrated the "active audience" empowered by digital technologies, this paper argues that current popular media operates under a paradox of participation. Using Netflix’s Black Mirror: Bandersnatch and the Marvel Cinematic Universe (MCU) as primary case studies, the analysis reveals how algorithmic recommendation systems simultaneously expand narrative access while constricting serendipitous discovery. Furthermore, it demonstrates that transmedia extensions, rather than democratizing fandom, often function as sophisticated mechanisms for brand loyalty and data extraction. The paper concludes that meaningful media literacy pedagogy must address not only the quantity of user participation but the structural conditions—ownership, data privacy, and platform design—that govern it.

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With the dominance of streaming platforms, human gatekeepers (programmers, video store clerks) have been partially replaced by . These systems use collaborative filtering and user data to predict and shape taste (Hallinan & Striphas, 2016). While providing convenience and personalization, algorithms risk creating “filter bubbles” (Pariser, 2011) and “echo chambers” that reduce exposure to diverse or challenging content, instead optimizing for engagement and retention metrics. This paper examines the evolution of audience engagement

: Audiences are increasingly drawn to authentic, humanizing content like "Day-in-the-life" videos of employees or exclusive project updates. With the dominance of streaming platforms, human gatekeepers