Facebook Algorithm Now Lets Users Customize Feed With AI-Powered Your Algorithm Feature

Meta Introduces Your Algorithm for Facebook Feed and Reels

Meta announced on October 13, 2026, the rollout of Your Algorithm, an AI-powered feature that gives users direct control over their Facebook algorithm1

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. The tool allows users to customize their feed algorithm by describing their content preferences in natural language, marking a significant shift in how AI-driven content discovery works on the platform3

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. Users can now influence what appears in their Facebook Feed and Reels by communicating directly with the platform about topics they want to see more or less frequently, rather than relying entirely on automated recommendation systems1

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How User Control Over Algorithm Works

The Your Algorithm feature provides a dedicated space where users can add and manage topics they want to see in their content feed recommendations4

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. Users access the tool through the updated three-dot menu on individual posts, where they can select "Interested" or "Not interested" to indicate whether specific content aligns with their preferences1

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. Meta may ask follow-up questions to better understand what users liked or disliked, allowing them to provide more detailed user feedback about their content preferences3

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. The platform updates recommendations in real time as users feed new preferences into the system, adapting within the same session to reflect what matters to them at that moment2

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Large Language Models Power AI Personalization

Meta is incorporating large language models into its recommendation systems to improve how the Facebook algorithm interprets user preferences3

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. The LLMs can interpret the interests, context, and intent behind natural language instructions, unlocking an algorithm users can actually talk to2

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. By combining this freeform text with existing information about users' interests and engagement patterns, the ranking systems can tailor Feed and Reels recommendations to their stated preferences4

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. Traditionally, Meta relied solely on signals such as likes, comments, shares, and viewing behavior to determine content curation, but the integration of LLMs allows the platform to process direct feedback alongside these behavioral signals5

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Expansion Across Meta's Platform Ecosystem

The launch builds on Meta's existing AI personalization efforts across its other platforms. Instagram introduced Your Algorithm in June 2026, extending customization options across Feed and Explore after first launching the feature for Reels in December 20251

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. Threads also introduced a related feature called "Dear Algo," which allows users to influence the content recommended to them1

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. This coordinated rollout across Facebook, Instagram, and Threads signals Meta's broader strategy to give people more influence over their social media experiences as AI increasingly shapes content discovery1

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What This Means for Social Media Users

The introduction of Your Algorithm reflects a fundamental shift away from traditional recommendation systems that have shaped social media experiences for years, bringing the platform closer to streaming services that allow users to personalize recommendations based on their interests and preferences1

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. Users can now specify exactly what they want to see—whether that's more technology updates, travel videos, or cooking tutorials—and indicate which topics they prefer to see less often5

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. This level of user control over algorithm behavior addresses long-standing concerns about algorithmic transparency and gives users agency in shaping their digital experiences. As AI continues to evolve, watch for how this natural language approach to content curation influences user engagement patterns and whether other social platforms adopt similar strategies to compete for user attention and satisfaction.