Instagram is rolling out additional ways for users to directly influence the content they see, as the Meta-owned platform continues to expand its “Your Algorithm” feature across more sections of the app.

In a recent post, Instagram head Adam Mosseri highlighted several experimental ideas aimed at making algorithm customization more accessible and integrated into everyday use. The updates build on efforts launched last year to give users greater visibility into and control over the topics the platform’s recommendation systems associate with their accounts.

“We want to evolve Your Algorithm from a setting to something that feels central to your experience on Instagram,” Mosseri said. He added, “Some of this is testing now, some is coming soon, some might not work.”

The feature, initially introduced for Reels, allows users to review topics Instagram believes they are interested in, add new ones they want to see more of, and remove those they prefer less. It has since expanded to the Explore page and, more recently, the main feed.

Mosseri’s latest examples demonstrate potential new access points. One concept involves pulling down on the home feed to surface the Your Algorithm menu for quick adjustments. Another envisions swiping up from a Reel to prompt similar customization options. A third shows simple buttons beneath individual Reels, letting users signal whether they want to see more content like it.

These tests reflect a broader push by Instagram to increase user agency in an era where algorithmic recommendations dominate feeds. Mosseri has emphasized that people who spend significant time on the platform should have meaningful control over their experience.

The expansion to the main feed, announced earlier in June, marked a notable step. Users can now see and tweak the topics the system links to their interests across major surfaces including Reels, Explore and Feed.

Instagram’s algorithm relies on numerous signals, with watch time, likes and shares emerging as particularly influential factors according to previous statements from Mosseri. The company uses machine learning to predict engagement, but the Your Algorithm tool aims to make those predictions more transparent and adjustable.

Topics currently form the core of the customization options, but Instagram plans to broaden the feature. Future iterations could support preferences for specific people, moods or vibes, and different content types.

This evolution comes amid ongoing user feedback about feed relevance. Many express frustration that recommended content often overshadows posts from accounts they follow. Popular comments on Mosseri’s announcements frequently echo calls for prioritizing followed accounts.

Instagram has acknowledged the tension between personalized recommendations and chronological feeds from connections. Recommendations now drive much of the platform’s growth, particularly through Reels, while still blending content from followed users.

The platform reached over 3 billion monthly active users in recent years, highlighting the scale at which these algorithmic decisions affect global audiences. For creators, the changes could influence visibility, as content aligned with user-selected topics may perform better in recommendations.

Experts note that giving users more direct input could help address concerns about filter bubbles and echo chambers. By allowing explicit topic adjustments, Instagram hopes to balance discovery of new content with relevance to stated preferences.

However, challenges remain in implementation. Algorithms must interpret user signals accurately without creating overly narrow experiences. Testing phases allow the company to gather data on what works before wider deployment.

Mosseri has shared philosophical thoughts on the matter, framing it as part of a larger effort toward transparency and user empowerment in social media. He has reviewed his own algorithm settings and encouraged others to do the same.

For everyday users, these tools could simplify managing overwhelming feeds. Instead of relying solely on implicit signals like past likes and views, people can make declarative choices about interests ranging from hobbies and news to entertainment categories.

The feature’s rollout has been gradual, starting with Reels before broader integration. This phased approach helps Instagram refine the interface based on real usage patterns.

As social platforms face scrutiny over content moderation, mental health impacts and information flow, features like Your Algorithm represent attempts to shift some control back to individuals. Similar tools exist on other services, but Instagram’s integration across multiple surfaces stands out.

Creators and marketers are watching closely. Content that matches actively chosen topics stands a better chance of surfacing, even for non-followers. This encourages more focused, high-quality production rather than generic posts.

Instagram continues to iterate on ranking systems. Watch time remains a top signal, underscoring the importance of engaging, vertical-format videos that hold attention.

The latest tests for in-the-moment customization, such as quick “more of this” or “less of that” signals during browsing, could make adjustments feel seamless rather than buried in settings menus.

User reactions vary. While some welcome greater control, others prioritize simplicity and question whether deeper tweaks will truly change their experience. The most common request remains stronger emphasis on content from followed accounts in primary feeds.

Instagram has not announced exact timelines for all proposed features, consistent with Mosseri’s note about ongoing experimentation. Some elements may never launch if testing reveals issues.

This focus on algorithm transparency aligns with Mosseri’s history of sharing insights into how Instagram ranks content across different surfaces. He has previously detailed factors for Feed, Reels, Explore and Stories.

For businesses and influencers, understanding these shifts is crucial. Adjusting strategies to align with user-selected interests could boost reach, while ignoring them might limit exposure in recommendation-driven sections.

Parents and younger users may also benefit from clearer controls, though Instagram maintains separate safeguards for teen accounts.

As the platform evolves, the balance between algorithmic curation and user direction will likely remain a key area of development. Mosseri has indicated this is just the beginning of efforts to make Instagram more responsive to individual needs.

In practice, accessing Your Algorithm currently involves navigating to relevant sections or checking account settings. With new tests, it could become as intuitive as interacting with any post or swipe gesture.

The feature does not alter content moderation policies or introduce new restrictions. It focuses purely on personalization of recommendations.

Industry observers see this as part of a competitive response to user demands for better feed quality across social apps. As attention economies intensify, platforms investing in perceived control may retain users longer.

Instagram’s parent company Meta has emphasized responsible AI development, which extends to recommendation systems. Large language models reportedly help translate complex ranking data into understandable topic labels for users.

Looking ahead, expansions beyond topics could include vibe-based preferences, such as uplifting content or specific aesthetics, further personalizing the experience.

Users interested in trying current options can check their settings or look for prompts in Reels and Explore. As tests progress, more may appear in the main feed.

The developments underscore Instagram’s ongoing commitment to refining its core product amid a crowded digital landscape. By listening to feedback and experimenting with access methods, the company aims to make its powerful algorithms feel more collaborative than opaque.