What Instagram’s new algorithm controls are
Instagram’s new algorithm controls are tools inside the app that let you see, add, and remove interest topics so you can personalize Instagram feed recommendations across your main Feed, Reels, and Explore with far more direct, topic‑level control than before. The feature, called “Your Algorithm,” started on Reels and Explore and now extends to the central Feed, where most people spend their time. Instead of the algorithm only watching what you tap or watch, it now shows the topics it thinks you care about and lets you override them. Instagram’s head Adam Mosseri says this shift is meant to return more “agency” to users, acknowledging that reliance on recommendations has weakened the power of simply choosing who to follow. In practice, this turns a mostly passive feed into one you can actively tune.
Where to find Your Algorithm and how it works
Your Algorithm appears as a personalization hub covering three areas: Feed, Reels, and Explore. In it, Instagram lists topics it has inferred from your behavior, such as what you watch, save, and share. You will see chips or tiles representing interest clusters, for example “rescue dogs” or “parenting humor.” Tapping a topic usually gives you options like seeing more or less of it in your recommendations. This is different from muting accounts or switching feeds; you are steering the recommendation engine itself instead of hiding specific people. The system is powered by large language models that translate complex mathematical patterns into human‑readable topics. According to Instagram, recommendation systems have long used “embeddings” to group content, but advances in AI now allow these hidden structures to be described in everyday language that users can act on.
How to personalize Instagram content preferences step by step
To personalize Instagram content preferences, start by opening Your Algorithm from your settings or from prompts that appear in Feed, Reels, or Explore. First, review the topics Instagram thinks you like. Keep those that fit and remove anything that feels off so you see less of it over time. Next, actively search and add topics you want more of, such as niche hobbies, learning themes, or entertainment categories. This is one of the clearest ways to personalize Instagram feed recommendations without waiting for the system to guess correctly. Finally, back up these settings with your behavior: watch through posts you enjoy, skip or hide those you do not, and share content that matches your chosen topics. Your explicit topic list and your day‑to‑day activity work together to teach the algorithm.
Limits of control: following accounts vs following topics
The new Instagram algorithm control is powerful for topics, but it does not solve a common complaint: seeing more posts from people you follow in the main Feed. The Your Algorithm tool works with interest themes, not relationship‑based requests. When one reporter tried entering “posts from people I follow,” the system returned “no results found,” highlighting a clear limit. Mosseri has openly noted that “who you follow used to be a meaningful tool” for shaping the app, but as recommendations took over, that tool “quietly stopped working.” You can still switch to the dedicated Following feed to view posts from accounts you chose, yet the main Feed will continue to be recommendation‑heavy. For now, topics are the levers you can pull, while reach and follower visibility remain largely in Instagram’s hands.
What greater algorithm transparency means for your experience
By exposing topics and giving you on‑off switches for them, Instagram’s algorithm transparency settings change how discovery feels. Instead of the experience “happening to you,” you can see how the system classifies your interests and correct it when it gets things wrong. The platform argues that recommendations themselves are not the problem, noting that on Instagram they are shared in DMs billions of times a day, but that people have lost ways to shape what they see. Now, topic controls, upcoming options for people and moods, and clearer explanations of why you see certain content move things toward a more bespoke experience. You may end up with a feed that feels more personal and relevant, though highly individualized feeds also raise questions about how many posts friends, creators, and communities still share in common.
