The central concept involves accessing a record of Reels the user has actively indicated a lack of interest in. This action signals to the platform’s algorithm that similar content should be deprioritized in the future. A hypothetical scenario would be a user repeatedly selecting the “Not Interested” option on Reels featuring a specific topic, then later wanting to confirm those selections or understand their cumulative effect on content recommendations.
Understanding this function’s purpose offers benefits related to content management and algorithmic transparency. Examining this record provides insight into the impact of user feedback on shaping personalized content feeds. Historically, platforms have offered limited transparency into these recommendation systems; therefore, improved user control represents a positive step toward greater agency over online experiences.