Meta has introduced “Your Algorithm” on Facebook, an AI-driven tool that empowers users to directly influence the posts and videos they see in their Feed and Reels by specifying content preferences in their own words.
- Users tell the algorithm what content they want more or less of using natural language.
- Real-time adjustment of Facebook Feed and Reels recommendations based on user input.
- Simplified content preference management added to the three-dot post menu.
What happened
Meta announced the launch of “Your Algorithm,” an AI-powered Facebook feature designed to give users more direct control over their content experience. This functionality allows users to describe their content preferences using natural language, influencing what appears in their Feed and Reels. The feature builds on a similar rollout that first debuted on Instagram earlier in 2026.
To complement this, Facebook updated the three-dot menu on posts, enabling users to easily select options like “Interested” or “Not interested,” and access their personalized algorithm settings directly from individual pieces of content. The platform may also prompt users with follow-up questions to refine recommendations further based on user feedback.
Why it matters
This new feature represents a shift in how social media platforms approach content recommendation—moving away from opaque automated systems toward greater transparency and user input. By allowing users to interact with the algorithm in a conversational way, Facebook aims to improve content relevance and user satisfaction.
Meta's approach aligns with trends seen in streaming services and other platforms that prioritize personalization. As AI becomes more central to content discovery, Meta’s move could set a new standard for user control in social media, potentially enhancing engagement by reducing unwanted or irrelevant content.
What to watch next
Observers should track how users engage with “Your Algorithm” and whether it meaningfully improves content relevance and experience on Facebook. Meta’s ability to scale this personalization while maintaining content diversity and avoiding filter bubbles will be critical.
Additionally, watching broader adoption across Meta’s platforms—such as further updates to Instagram and Threads—and how competitors respond with their own customization tools will provide insights into the future of AI-driven content curation in social media.