Instagram Launches Algorithm Customization Feature for Main Feed
Instagram has launched a 'Your Algorithm' feature for its main feed, allowing users to view and edit the interest topics — such as 'rescue dogs' or 'skateboarding' — that its recommendation system uses to curate their content. The feature, powered by large language models, extends similar controls already available for Reels and the Explore page. It marks a broader push by Instagram to give users more visible agency over their algorithmic experience, though its scope remains limited for now.
Instagram has expanded its 'Your Algorithm' personalization feature to the app's main feed, enabling users to see AI-generated summaries of their inferred interests and manually add or remove topics to shape their recommendations. Instagram chief Adam Mosseri announced the change, framing it as part of a larger philosophical commitment to user agency, arguing that algorithmic systems had previously made the experience feel like something 'happening to' users rather than shaped by them. The feature is powered by large language models, which Mosseri says can now translate opaque ranking signals into human-readable topic categories. However, the tool currently only supports interest-based topics and does not allow users to prioritize posts from accounts they already follow — a persistent frustration for creators and businesses on the platform. Mosseri acknowledged that the shift toward recommendations had quietly eroded the utility of the 'following' relationship, though he stopped short of promising a rollback of recommendation-heavy feeds. Instagram says it is actively working on expanding the feature to support requests around specific people, content types, and 'moods or vibes.' A dedicated 'Following' feed remains available as a separate option for users who prefer chronological, follow-based content.
What's missing
Neither source specifies when the 'Your Algorithm' main feed feature will be fully rolled out to all users globally, or whether it is currently limited to certain regions or account types.
How coverage differed
The Verge focused primarily on Mosseri's philosophical framing and Instagram's stated intentions, presenting the feature in a broadly positive light. Engadget took a more critical angle, highlighting a concrete limitation — that users cannot use the tool to prioritize posts from accounts they follow — and contextualizing it within ongoing creator frustrations with Instagram's reach and recommendation policies.
What different sources said
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