Threads launched a Your Algo feature on June 16, 2026 that lets users privately tell the app to show more or less of specific topics for one, three, or seven days at a time. The launch follows Instagram's early-June expansion of its own Your Algorithm tool across feed, explore, and reels, and lands alongside TikTok's two-year-old Manage Topics system. Together, the three products mark a deliberate pivot at Meta and ByteDance: recommendation algorithms, long treated as proprietary black boxes, are being exposed to direct user input.
The mechanics differ across the three apps but the direction is identical. On Threads, Your Algo builds on the Dear Algo tool that debuted in February 2026, which required users to publish a public post — literally addressed to the algorithm — saying something like "Dear Algo, show me more posts about podcasts." Your Algo strips out the public-performance step and turns the same request into a private setting, with an expiration window of one, three, or seven days.
Instagram's Your Algorithm tool launched for the reels feed in December 2025 and expanded across feed, explore, and reels in early June 2026. Inside settings, users can see the topics Instagram believes they care about most, then directly tell the app to dial those topics up or down. Recommendations adjust based on the input rather than on inferred behavior alone.
Key facts
- 01Threads launched Your Algo on June 16, 2026, letting users privately request more or less of specific topics for one, three, or seven days.
- 02Instagram expanded its Your Algorithm tool across feed, explore, and reels in early June 2026, after a December 2025 reels-only debut.
- 03TikTok's Manage Topics tool, launched in 2024, added AI-powered Smart Keyword Filters in 2025 that auto-block synonyms of filtered terms.
- 04Threads' February 2026 Dear Algo tool required public posts to tune the feed; Your Algo moves the same control into a private setting.
TikTok got there first. Its Manage Topics tool launched in 2024 with sliders for categories including sports, travel, humor, current affairs, dance, and food, plus tooltips that explain what falls under each topic. In 2025, TikTok added Smart Keyword Filters, an AI-powered layer that automatically extends a user's filter to synonyms — block "remodeling" and TikTok also suppresses "renovation" and "renovations" in the For You feed.
Instagram head Adam Mosseri has framed the shift as a direct consequence of large language models reaching the recommendation stack.
The business logic is straightforward. Recommendation systems optimize for engagement, and a user who explicitly says "show me more baseball, less stressful news" hands the ranker a cleaner signal than weeks of behavioral inference. Meta and TikTok lose nothing by surfacing the controls; they gain a more accurate model of intent and a defensible answer to the regulatory and cultural argument that opaque feeds manipulate behavior. The framing in the apps — feeds as streaming services with channels you tune, rather than TV with whatever's on — is doing real work.
There are limits to how far the transparency goes. Users can express preferences across a curated list of topics, but neither Instagram nor Threads exposes the underlying ranking weights, the recency decay, or the engagement signals that still dominate the model. Your Algo's one-to-seven-day expiration means tuning is a short-term nudge, not a persistent rewrite of the recommendation system. And on TikTok, Smart Keyword Filters operate on content classification that the platform controls — users can suppress topics the model already knows about, not topics it has failed to label.
The longer-term question is whether user-tunable feeds change the underlying engagement economics or just paper over them. If most users never open the settings panel, the public-facing controls function more as a regulatory shield than a product shift. If a meaningful share do, the recommendation system gets better training data and the platforms get to argue, with some justification, that the feed is now something the user co-authored.
For Meta in particular, the rollout cadence — Dear Algo in February, Instagram's expanded Your Algorithm in early June, Threads' Your Algo on June 16 — suggests a coordinated push to reframe the algorithm conversation around user agency. The strategic value is less about any single feature and more about resetting the default narrative: feeds you control rather than feeds that control you. Whether the engagement numbers move enough to justify the engineering investment will be the actual scoreboard, and neither Meta nor TikTok has shared usage data on the controls yet.
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