Instagram’s CEO, Adam Mosseri, has released a detailed blog post aiming to clarify how the platform’s recommendation algorithms work and to address concerns over “shadowbanning.” Mosseri explained that Instagram does not have a single algorithm governing content visibility but employs multiple algorithms and ranking systems for different parts of the app, such as Explore, Reels, Stories, and search. Each of these sections utilizes various signals to determine content ranking for individual users.
Mosseri emphasized that the order of posts in the main feed is influenced by users’ past activities and interactions with the creators. Similarly, Stories take into account viewing history and the “closeness” between users. Recommendations in Explore are predominantly based on users’ past interactions, including likes, saves, shares, and comments, but are more likely to come from accounts with which users have not previously engaged.
