Social media’s next evolution: User-controlled algorithms

2026-06-17 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Media & Entertainment — Digital Media & Streaming, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Social media platforms like Threads, Instagram, and TikTok are evolving their recommendation algorithms, shifting control to users for personalized content feeds. This move allows individuals to actively influence what appears in their feeds, moving beyond basic "Not Interested" options. Threads introduced its "Your Algo" feature on June 16, 2026, expanding on the "Dear Algo" tool from February 2026, enabling private topic preferences for specific durations. Instagram launched its "Your Algorithm" tool in early June, initially for reels in December 2025, now covering feed, explore, and reels, letting users view and customize their recommended topics. TikTok's "Manage Topics" tool, launched in 2024, allows users to adjust content preferences via sliders and was enhanced in 2025 with AI-powered Smart Keyword Filters that automatically filter related keywords. This trend aims to provide users with tailored experiences and boost platform engagement.

Key takeaway

For AI Product Managers developing recommendation systems, you should prioritize user-controlled personalization features. Integrating explicit feedback mechanisms, like those on Threads or Instagram, allows users to directly shape their content experience, moving beyond implicit signals. Consider utilizing LLMs to enhance algorithm transparency and implement AI-powered keyword filtering, as seen on TikTok, to offer granular control and boost engagement. This approach fosters user satisfaction and retention by giving them agency over their digital feeds.

Key insights

Social platforms are empowering users with AI-driven tools to directly customize their recommendation algorithms for personalized feeds.

Principles

• User control enhances feed relevance.
• AI/LLMs increase algorithm transparency.
• Customization boosts user engagement.

Method

Users explicitly communicate content preferences (topics, keywords) through platform-specific tools, allowing AI to adapt recommendations accordingly.

In practice

• Utilize Threads' "Your Algo" for temporary topic adjustments.
• Refine Instagram's "Your Algorithm" to customize topic interests.
• Adjust TikTok's "Manage Topics" and Smart Keyword Filters.

Topics

• Recommendation Algorithms
• User Personalization
• AI-powered Filters
• Threads
• Instagram
• TikTok

Best for: AI Product Manager, Product Manager, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.