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Streaming algorithms on this date no longer optimize for "more of the same." Instead, they optimize for "radical adjacent." If you watch Star Wars , the algorithm suggests a Wuxia martial arts film. If you listen to Taylor Swift, it plays Fado music from Lisbon. The goal is to break filter bubbles, not reinforce them. Why? Because data shows that users who receive 30% "novelty" recommendations have 60% longer lifetime value than those stuck in a nostalgia loop. : Released on January 25, 2017, this document
A viral campaign launched earlier this week encouraging users to "Unspiral"—manually adjusting their feeds to prioritize long-form educational content over rapid-fire dopamine hits—is seeing mass adoption. Platform engagement metrics are shifting; watch time on videos over 10 minutes has spiked, suggesting that the dominance of the 15-second clip may finally be plateauing as users seek deeper connection and context.