Threads has always positioned itself as the place to follow what’s happening right now. But what’s relevant can shift in an instant, especially during live cultural moments. Now, Meta is giving users a more direct way to shape what they see.
Meta is rolling out Dear Algo, a new AI-powered feature on Threads that lets users temporarily adjust their feed simply by posting a request.
Tell the Algorithm What You Want
The idea is simple: type “Dear Algo” in a public Threads post, followed by what you’d like to see more or less of.
For example:
“Dear Algo, show me more posts about podcasts.”
“Dear Algo, show me less about that TV show I haven’t watched yet.”
Once posted, the platform’s AI adjusts your feed for three days, prioritizing content that aligns with your request. Users can also repost someone else’s Dear Algo request to apply the same preferences to their own feed, introducing a subtle layer of social curation.
A Temporary Shift, Not a Permanent Reset
Unlike long-term algorithm tweaks buried in settings, Dear Algo is intentionally temporary. The three-day window keeps the experience fluid, designed for moments, live sports games, breaking news cycles, cultural events, rather than permanent identity shifts.
It’s a notable evolution in how platforms are thinking about personalization. Instead of passively training an opaque algorithm over time, users are invited to actively instruct it.
From Passive Consumption to Conversational Control
As social platforms continue to face scrutiny over algorithmic transparency, Dear Algo feels like an attempt to reframe the relationship between users and the feed. Rather than guessing what matters to you, Threads is asking you directly.
It’s also a clever behavioral nudge. By making feed preferences public, Meta subtly turns algorithm training into content itself, another layer of conversation.
Dear Algo is now available in the United States, New Zealand, Australia, and the United Kingdom, with broader rollout expected soon.
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