Instagram users may soon adjust feed topics directly in settings
In early versions of the feature, users can open their settings and access a section tentatively called “Your Algorithm” or “Content Preferences”.
Instagram is testing a new feature that could reshape how users experience content on the platform, offering them unprecedented control over its powerful recommendation system.
The social media giant, owned by Meta Platforms, has begun experimenting with a setting that allows users to add or remove topics to better tailor what appears in their Reels and Explore feeds.
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The feature, currently in limited testing, represents one of Instagram’s most significant steps toward making its algorithm more transparent and customisable.
For years, Instagram’s recommendation engine has determined what users see based on their activity, such as liked posts, followed accounts, and watched videos. While this has enabled personalised suggestions, it has also drawn criticism for being opaque and repetitive.
Now, the company is inviting users to take a more active role. According to Instagram head Adam Mosseri, the new test will allow users to “tune their algorithm by adding and removing topics based on their interests”.
In early versions of the feature, users can access a section in their settings tentatively titled “Your Algorithm” or “Content Preferences”.
There, they’ll find a list of topics Instagram believes they’re interested in, such as fashion, travel, football, stand-up comedy, or home decor, with simple options to see more of what they like or less of what they don’t.
Initially, the feature is being rolled out for Reels, Instagram’s short-video format, with plans to expand to Explore in the coming months.
Despite early enthusiasm, experts warn the feature could have unintended consequences. Privacy advocates have raised concerns that selecting topics may provide Meta with new insights into user preferences.
Instagram has not yet clarified how these selections might affect advertising or whether the data will be used beyond content recommendations.
For now, the feature remains in early testing and is available only to a limited number of users in select regions. The company has not announced when it will be rolled out more broadly.
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