Google has introduced a new way for users to shape their Discover feed, allowing them to tell the platform exactly what topics they want to see. The update moves beyond passive algorithmic suggestions by letting people type in specific interests that directly influence the content shown on their devices. This change gives users more agency over what appears in their personalized feed.

What You Need to Know

Google Discover is a content feed on Android and iOS that surfaces articles, videos and news based on user behavior. Previously users could adjust preferences by following topics or hiding sources. The new feature lets them directly type in interests to fine-tune what shows up. It represents a shift toward more explicit user control over algorithm-driven feeds.

How the New Curation Works

The feature appears as a text input within the Discover settings menu. Users can enter keywords or phrases describing topics they want to see more of, such as cooking, hiking or astrophysics. Google then adjusts the feed to prioritize content matching those terms. The system combines this manual input with existing behavioral signals to produce a more relevant stream.

Google says the tool works alongside existing controls like following sources or hiding stories. Users can update their interests at any time, and the feed responds in near real time. The feature is rolling out globally to Android and iOS devices over the coming weeks.

  • Keyword entry: Users type specific interests into a dedicated field. The feed then prioritizes content related to those terms.
  • Real-time updates: Changes to interest settings appear in the feed within minutes. No app restart is required.
  • Compatible controls: The new input works alongside following sources, hiding topics and muting publishers. Users can layer multiple preferences.

User Impact and Privacy Considerations

For most users, manual curation removes the frustration of an algorithm that misreads their intent. Instead of swiping away unwanted stories, they can tell Google directly what they want. This reduces the guesswork involved in training the feed over time.

Privacy advocates, however, note that explicit interest inputs give Google more precise data about user preferences. The company already collects extensive behavioral information; adding typed keywords could deepen the profile it builds. Google has not announced any changes to its data usage or privacy settings tied to the new feature.

Why This Matters

The move signals a broader shift in how platforms balance algorithmic automation with explicit user input. For years social media feeds and content recommendations relied almost entirely on passive signals like clicks, dwell time and shares. With this update, Google acknowledges that some users want a more direct voice in what they see.

The impact extends beyond convenience. If widely adopted, manual curation could reduce the echo chamber effect that algorithmic feeds sometimes create. Users who actively choose diverse topics may receive a broader range of content. At the same time, the feature could increase user satisfaction and retention for Google, which competes with other news aggregators and social platforms for attention.

Other companies will likely follow suit. Apple, Meta and Microsoft have all experimented with user controls for their own feeds. The challenge each faces is the same: how to give users control without sacrificing the discoverability that algorithms provide. Google’s new tool is an early test of whether manual and machine-driven curation can coexist effectively.