You Can Now Customize Your Instagram Algorithm in the Main Feed

Instagram’s Your Algorithm lets users fine-tune LLM-powered recommendations from topics to moods, marking Adam Mosseri’s latest push for transparency.

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Summary

  • Instagram is expanding its Your Algorithm feature to the main feed, enabling users to view and modify the topics that drive their content recommendations
  • The update utilizes large language models to translate complex ranking data into legible categories allowing for manual adjustments to topics, moods and content types
  • Head of Instagram Adam Mosseri framed the launch as a move to restore user agency and transparency within traditionally opaque social media systems

Instagram is rolling out a major update by expanding the Your Algorithm feature directly to the main feed. The tool grants users direct control over the specific content suggested as they scroll. Previously restricted to Reels and the Explore page since its initial debut, the hub provides an AI-generated summary of perceived interests. Users can now actively add or remove these categorized topics to reshape their daily viewing experience across all major surfaces of the app. This marks a significant departure from an era where social media feeds felt entirely dictated by a black box.

According to head of Instagram Adam Mosseri, this technical shift relies heavily on the integration of large language models. These advanced systems are capable of clustering visually complex ranking data into text descriptions that make sense to the average person. While the current interface strictly supports topic-based changes, the engineering team plans to broaden the scope soon. Future updates will allow users to submit requests for specific creators, distinct moods and various content formats. The ultimate goal is to build an ecosystem where feeds actually reflect what people want rather than what the algorithm assumes they need.

Mosseri recently noted that the tech industry has failed to properly reckon with the cost that algorithmic recommendations exact on individual agency. For years, the digital conversation remained entirely one-sided. Recommendation engines learned exclusively from passive interactions like taps, watch time and quick shares without ever asking for direct input. By opening up the hood, the brand hopes to alleviate the unease many feel online. The revamped tool ensures the digital experience feels shaped by the individual rather than simply happening to them.

This strategic pivot follows a larger sequence of transparency initiatives rolled out by Instagram over the past year. Late last year, the company introduced a drastic option that lets users completely reset their recommendation engine to start fresh. Alongside these user-facing controls, the underlying ranking mechanics continue to evolve. Recent insights reveal that direct shares now stand as a top ranking signal across the entire network. Moving away from a purely consumption-driven model, Meta intends to empower its user base to curate spaces that genuinely foster connection and relevance.

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