Epidemic Sound Explains YouTube Shorts Algorithm
Music service Epidemic Sound has published an in-depth analysis of the YouTube Shorts algorithm. The explanation details how the platform ranks and distributes short-form video content to users.

Music service Epidemic Sound has released a guide detailing the inner workings of the YouTube Shorts algorithm. The publication clarifies how the platform ranks and distributes short-form video content to its users, emphasizing the role of personalization.
The algorithm's core function is to identify and rank Shorts content for user feeds. Epidemic Sound explains that the platform aims to provide a unique experience for each viewer, which accounts for the variation in Shorts feeds among different users. The objective is to serve videos to an audience likely to watch, share, and engage positively with them.
The algorithm heavily prioritizes viewer engagement and content relevance. Key factors include watch time relative to views, a viewer's past watch history, and their interaction patterns with content. The frequency of uploads by the content creator and the metadata used, such as keywords and descriptions, also influence visibility.
Epidemic Sound notes that the Shorts algorithm resembles the broader YouTube platform's algorithm but is tailored for videos under three minutes. While precise metrics are not disclosed, the company stresses that consistent content creation and accurate metadata can improve discoverability and user engagement.