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This paper employs a qualitative meta-analysis of industry reports (2020–2024) from Nielsen, Pew Research, and Spotify’s Loud & Clear data, combined with close reading of three case studies:
The terms "entertainment content" and "popular media" once described relatively stable categories: television shows, Hollywood films, pop music, and mass-market magazines. Since the mid-2010s, however, the rise of direct-to-consumer platforms (Netflix, Disney+, Twitch, TikTok) has blurred distinctions between professional and amateur production, long-form and short-form narratives, and linear versus algorithmic distribution (Lotz, 2022). This paper addresses two primary research questions:
Author: [Generated for: User Request "rim4k 24 07"] Published (Virtual): Journal of Digital Culture & Media Studies (Simulated Volume 24, Issue 07)
Platforms like YouTube and Netflix no longer program by traditional genres (comedy, drama) but by micro-genres derived from user behavior (e.g., “feel-good K-dramas with strong female leads”). While this increases user satisfaction, it also isolates users in filter bubbles, reducing exposure to heterogeneous popular media (Pariser, 2011).
