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Meta's 'Dear Algo' posts let Threads users tweak feed
Meta has decided to let Threads users make custom tweaks to its all-important algorithm, but don't expect your preferences to stick and do expect to bring your best manners. The social media-cum-metaverse-cum-AI firm formerly known as Facebook announced a new Threads feature called "Dear Algo" on
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Meta launches AI algorithm personalization feature for Threads
Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds of posts they want to see similar to how people use written prompts to interact with chat bots
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How 'Dear Algo' Feature Changes Meta's Threads Recommendation System
Meta has introduced a new AI-powered update for Threads called Dear Algo, which gives users a more direct way to shape what appears in their feed. Instead of relying only on automatic ranking, the feature allows people to publish a post beginning with "Dear Algo" and explain what they want to see
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Meta introduces "Dear Algo", AI to personalize the Threads feed
Meta has unveiled a new artificial intelligence feature called "Dear Algo," designed to give Threads users greater control over their recommendation feed. With the tool, platform members can set content preferences as written prompts, similar to those addressed to chatbots, to temporarily adjust
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Meta introduced Dear Algo, an AI-powered feature that lets Threads users personalize the Threads feed through written prompts. Users can post requests starting with "Dear Algo" to influence content recommendations for three days. The feature is now testing in the US, UK, Australia, and New Zealand as Meta pushes deeper into AI algorithm personalization.
Meta has launched Dear Algo, an AI-powered feature that gives Threads users a new way to personalize the Threads feed through direct communication with the platform's content-recommendation algorithms
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. The tool allows users to craft public posts beginning with the phrase "Dear Algo" followed by written prompts that specify what content they want to see more or less of, similar to how people interact with chatbots like OpenAI's ChatGPT2
. Once published, the Dear Algo request adjusts the user's feed for three days, with Meta citing a desire to keep users "connected to the most current conversations"1
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Source: The Register
A Meta spokesperson revealed the company was inspired by an existing trend of users publicly sharing posts with the phrase "Dear Algo" in attempts to influence content recommendations
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. The feature also enables users to repost someone else's Dear Algo request, effectively applying their content preferences to their own feed2
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. This makes feed tuning temporary, shareable, and driven by explicit user input rather than long-term engagement signals alone3
.Meta has rolled out Dear Algo in the United States, United Kingdom, Australia, and New Zealand, with plans for a global rollout to additional markets
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. However, early testing by MediaNama using a UK-based account showed inconsistent results in the Threads recommendation system3
. When a user posted "dear algo give me more luxury content," the feature initially delivered more UK-based English posts about luxury products, but the algorithm subsequently began adding several posts in Tagalog, a language from the Philippines3
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Source: MediaNama
Meta provided limited examples of how specific Dear Algo commands can be, mentioning only general requests like showing more posts about a current NBA game or podcasts
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. The company did not clarify whether users could prompt the system to exclude posts expressing certain viewpoints or mute spoilers about specific television episodes1
. This AI algorithm personalization feature remains exclusive to Threads, with no announced plans to bring it to Instagram or Facebook1
.The Dear Algo launch coincides with Meta's ambitious AI strategy outlined during its Q4 FY25 earnings call. Mark Zuckerberg stated that the company plans to integrate Large Language Models (LLMs) directly into the recommendation systems powering Facebook, Instagram, Threads and its advertising systems
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. Zuckerberg described today's recommendation systems as "primitive compared to what will be possible soon," envisioning platforms where users encounter "an AI that understands you" rather than simple algorithms3
.Source: Market Screener
This vision involves building what Zuckerberg calls "personal superintelligence" that interprets personal context, including user history, interests, content and relationships to shape feeds, ads and commerce around individual goals
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. Meta plans to spend between $115 billion and $135 billion in 2026 on AI-related capital expenditures, nearly double last year's spending when the company overhauled its AI unit2
. The company also announced plans to build a massive 1 GW AI datacenter in Lebanon, Indiana1
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The introduction of Dear Algo raises questions about how Meta will leverage the structured user preference data generated through these explicit written prompts
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. While the feature appears to give users more control over their user experience, it simultaneously generates rich signals about interests, dislikes and intent that Meta's systems can interpret at scale3
. This development comes as Meta has expanded advertising on Threads to users in all markets worldwide, with the platform now serving as a testing ground for the company's broader AI ambitions3
.Threads, launched in July 2023 to compete against X (formerly Twitter), reached 400 million monthly active users in January and began its global rollout of advertising
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. Meta's algorithms have faced controversy for years over alleged racial bias, prioritizing divisive content, and promoting material that may radicalize users1
. The ability to tweak feed preferences through Dear Algo may help address some user concerns, though the temporary three-day window and unclear specificity limits leave questions about the feature's long-term impact on content moderation and user satisfaction.Summarized by
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