News in Short
- Instagram has expanded its Your Algorithm feature to the main feed.
- Users can now adjust the topics Instagram believes they are interested in.
- The company plans to add controls for people, content types, moods, and preferences.
- Instagram says AI and large language models are making recommendation systems easier to understand.
Instagram is giving users a new way to shape what appears in their feeds. The platform has expanded its Your Algorithm feature, allowing people to view and edit the topics that drive recommendations across major parts of Instagram. The move marks another step toward making the Instagram experience more transparent and customizable through AI.
The announcement came from Instagram chief Adam Mosseri, who described the update as more than just a new feature. According to him, it reflects a broader effort to give users greater control over how content reaches them.
What Is Instagram’s New Your Algorithm Feature?
The updated feature lets users see the topics Instagram thinks they care about and modify those interests directly. Until now, Instagram mainly relied on signals such as likes, shares, watch time, and interactions to understand user preferences.
With the latest rollout, users can actively tell the platform whether those assumptions are accurate.
At present, the feature focuses on topics. However, Instagram plans to expand it further. Future updates could allow users to influence recommendations based on specific creators, content formats, interests, moods, and other preferences.
The company has already introduced similar controls for Reels and Explore. Now, those controls are reaching the main Instagram feed as well.
Why Is Instagram Changing How Recommendations Work?
For years, social media algorithms have operated behind the scenes. Users could influence recommendations indirectly through their behavior, but they had limited visibility into how those systems worked.
Mosseri acknowledged this challenge in his announcement. He said recommendation systems have become highly advanced, yet they often leave users feeling disconnected from the decisions being made on their behalf.
As a result, Instagram wants to create a system where users can actively participate instead of simply reacting to what appears on screen.
The goal is to make content discovery feel less automatic and more intentional.
How Is AI Powering This Change?
A major part of the update relies on advances in artificial intelligence, particularly large language models (LLMs).
According to Mosseri, older recommendation systems were difficult for users to understand because the technology behind them was not easily explainable. However, modern AI models can analyze large groups of content and describe them using language that people understand.
That capability allows Instagram to show users the interests and themes its systems associate with them. More importantly, users can now respond and correct those assumptions.
This creates a two-way relationship between people and recommendation systems, rather than a one-sided process driven only by clicks and engagement metrics.
What Could This Mean for Social Media?
The update reflects a growing trend across social platforms. Users increasingly want more transparency about how recommendations are generated and why certain posts appear in their feeds.
Recently, social media companies have started introducing tools that give people more influence over algorithmic decisions. Instagram’s latest move pushes that trend further by making AI-generated insights directly visible to users.
If successful, the approach could change how people interact with recommendation systems across social media.
For now, Instagram users can begin adjusting the topics that shape their experience. As AI continues to evolve, the platform appears ready to hand over more control to users instead of keeping recommendation logic hidden behind the scenes. That shift could make the Instagram experience feel more personalized, transparent, and easier to understand.
