Meta has transformed persistent user frustrations with Threads’ recommendation algorithm into a creative, official feature called “Dear Algo.” Users can now post messages starting with “Dear Algo” to request more or less of specific topics, temporarily adjusting their For You feed for three days using natural language prompts powered by AI. Born from viral user memes addressing the algorithm directly, the feature rolled out initially in select countries including the US, UK, Australia, and New Zealand, allowing up to six active requests at once, visible in settings, and shareable via reposts for collective influence. This move highlights Meta’s responsive approach to community feedback while enhancing personalization on the platform.
Meta Embraces User Creativity: “Dear Algo” Becomes Official Threads Feature
Threads users have long voiced dissatisfaction with the platform’s algorithmic feed, often feeling it prioritizes irrelevant or overwhelming content over what they truly want to engage with. From the app’s launch in 2023, complaints centered on the “For You” tab’s tendency to surface recommendations that didn’t align with individual interests, prompting creative workarounds. Many began posting direct appeals to the algorithm—phrases like “Dear algorithm, show me more…” or “Dear algo, stop with the…”—treating it almost like a responsive entity capable of granting wishes. These posts evolved into a widespread meme, with users humorously petitioning for niche topics, from obscure historical figures to specific hobbies or avoiding spoilers.
Meta recognized this grassroots movement and, rather than ignoring it, integrated the concept into the platform’s core functionality. The result is “Dear Algo,” an AI-driven feature announced and rolled out starting February 11, 2026. It allows any user in supported regions to publish a public post beginning with “Dear Algo,” followed by a natural language request. Examples include “Dear Algo, show me more posts about vintage cars” to boost visibility of related content, or “Dear Algo, show me fewer posts about celebrity gossip” to dial it back. The AI interprets the prompt and adjusts the recommendation system accordingly for a temporary window of three days.
This isn’t a permanent overhaul of the algorithm but a short-term override, designed for situational needs—like ramping up sports coverage during a major event or reducing exposure to trending topics that feel repetitive. Users can have up to six active “Dear Algo” requests running simultaneously. Once posted, the request becomes part of the public conversation; others can interact with it through likes, replies, or reposts. Reposting someone else’s “Dear Algo” post applies that same preference adjustment to your own feed for the three-day period, creating a communal way to influence recommendations.
In the app’s settings, a dedicated section tracks all current and expired requests, providing transparency and control. Users can delete any active request at any time to revert changes immediately. The feature leverages Meta’s advanced AI capabilities to parse the informal, conversational language of these posts, ensuring the adjustments feel intuitive rather than rigid.
The rollout began with testing in markets such as Australia, Canada, New Zealand, and the United Kingdom, where early feedback helped refine the tool before its broader US debut. Meta has indicated plans for wider international expansion based on ongoing community input, signaling this as an iterative step toward greater user agency in content curation.
This development underscores a broader shift in how social platforms handle algorithmic transparency and control. By formalizing a user-invented hack, Meta addresses a key pain point—lack of direct influence over feeds—without requiring complex menu navigation or long-term profile retraining. It turns what was once frustration into an engaging, playful interaction that encourages creativity.
For power users and casual scrollers alike, “Dear Algo” offers a novel layer of personalization. During live events, sports fans can request amplified coverage of their teams; professionals might seek more industry insights temporarily; or anyone avoiding burnout from certain trends can politely ask for a breather. The public nature adds a social element, as visible requests can spark discussions or inspire others to adopt similar preferences.
While the “For You” feed remains the default algorithmic experience—blending followed accounts with recommendations—the “Following” tab continues to provide a chronological view of posts from accounts you follow. “Dear Algo” specifically targets the recommended content in “For You,” complementing rather than replacing existing options.
As Threads continues to grow its user base and compete in the fast-paced social media landscape, features like this demonstrate Meta’s willingness to listen and adapt quickly. By turning complaints into capabilities, the company not only improves user satisfaction but also fosters a more dynamic, user-directed ecosystem.
Disclaimer: This is a news report based on publicly available information about recent platform updates. It is for informational purposes only and does not constitute investment, financial, or usage advice.