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Only 12% of scatted clips referenced a clear beginning-middle-end structure. Instead, 71% used emotional peaks (laugh, outrage, awe) without context. Viewers reported feeling “constantly interrupted but not bothered” (Survey ID 804). This suggests a learned tolerance for fragmentation.

Gillespie (2018) argued algorithms are “public editors.” By 2023, platforms like TikTok employ neural scatting: the algorithm actively splices unrelated clips (a cooking tutorial → a political speech → a cat video) to maximize retention, creating a new syntax of adjacency. art of scat 23 05 27 poop pampering xxx 480p mp better

The algorithm audit revealed that platforms actively penalize long-form or continuous content by lowering its reach. Conversely, accounts that post high-frequency, varied, and unrelated clips (i.e., “scat accounts”) saw a 210% increase in follower growth. Only 12% of scatted clips referenced a clear

Early digital media theory (Jenkins, 2006) celebrated convergence culture, where media flowed across platforms. However, post-2020 scholarship (Zulli & Zulli, 2022) notes a shift toward divergence by fragmentation—content is no longer adapted but broken into atomic units. This suggests a learned tolerance for fragmentation