Threads' New 'Dear Algo' Lets You Chat with Your Feed Algorithm
Threads Introduces Groundbreaking 'Dear Algo' Feature
In a move that could reshape how we interact with social media algorithms, Meta's Threads platform has launched an innovative feature called Dear Algo. This isn't just another settings toggle—it's essentially a conversation starter with the artificial intelligence that shapes your feed.
How It Works: Talking to Your Algorithm
Gone are the days of mysterious algorithms deciding what you see. With Dear Algo, users can now type out their preferences in plain English (or other supported languages). Just begin any Threads post with the phrase "Dear Algo" followed by your request, and the system will adjust your content recommendations accordingly for 72 hours.
Want to immerse yourself in basketball content during March Madness? Type "Dear Algo, show me more NBA playoff coverage this weekend." Trying to avoid spoilers for the latest hit show? A simple "Dear Algo, no Succession season finale spoilers please" does the trick.
Three Key Benefits Users Love
- Precision Control: Unlike broad interest categories in other platforms, Dear Algo understands specific requests like "more local restaurant reviews" or "fewer political hot takes."
- Taste Sharing: Found someone with great content curation? Forward their Dear Algo post to import their preferences to your own feed.
- Temporary Adjustments: The three-day limit means your feed won't get stuck showing tennis content after Wimbledon ends.
The Bigger Picture: Algorithm Transparency
This launch represents a significant shift in social media philosophy. Instead of treating recommendation algorithms as corporate secrets, Threads is giving users both visibility and voice in how their feeds operate. Early testers report feeling more engaged with their feeds, knowing they've had direct input into what appears.
The feature is currently available in the United States, UK, Australia and New Zealand, with plans for global expansion later this year. As one beta tester put it: "Finally, my social media listens when I talk back!"
Key Points:
- Direct communication with feed algorithm via natural language requests
- 72-hour duration keeps recommendations timely and relevant
- Content sharing lets users borrow others' successful filters
- Currently available in four English-speaking markets, more coming soon
