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TikTok Algorithm Exposed: Three-Phase Boost for Viral Hits

Source: journals.sagepub.com

Researchers analyzed how TikTok's algorithm boosts videos based on user engagement signals like likes and watch time.
The study tested over 100 videos across niches, finding the algorithm favors content that quickly hooks viewers in the first few seconds.
This reveals how creators can exploit short-form video mechanics to gain massive visibility without traditional marketing.

The article examines TikTok's recommendation algorithm through controlled experiments, revealing how it prioritizes videos based on immediate user interactions. Authors William Hou and Luca Maria Aiello from IT University of Copenhagen conducted tests with real accounts to measure promotion patterns. Their core finding is that the algorithm rapidly amplifies engaging content via a multi-stage amplification process, which matters because it shapes what goes viral on a platform with 1.5 billion us