How does LinkedIn's algorithm prioritize content in users’ feeds?

LinkedIn's algorithm prioritizes content in users’ feeds primarily by evaluating the relevance of the content to the individual user, the level of engagement it has garnered, and the interactions it generates. This means that posts that resonate more with users are likely to appear higher in their feeds, as the algorithm aims to enhance user experience by surfacing content that is more likely to engage and interest them.

Relevance is determined by various factors, including the user’s interests, connections, and previous interactions on the platform. Engagement is measured through likes, comments, and shares, indicating how well a post resonates with the audience. The algorithm also considers interactions, such as how often users have interacted with content from the same creator or visited the creator’s profile, which informs LinkedIn about the user's preferences.

This focus ensures that users see a personalized feed that reflects their unique professional interests and networks, thereby fostering meaningful interactions on the platform. The other choices do not fully capture the complexity of LinkedIn's approach; for example, simply considering post length, follower count, or media type does not encompass the broader evaluation of content interaction and user relevance that drives the algorithm's decisions.