From Omer Adam to ChatGPT: How Google chooses which articles to offer you

An article explaining how Google Discover works, the personalized feed that appears in the Google app and on many devices. Unlike regular search, Discover tries to anticipate what might interest the user based on search habits, reading history, interests, followed sources, language, and location. The system gradually learns what intrigues each user and connects between fields—for example, someone reading about smartphones might receive an article about artificial intelligence. The article emphasizes that unlike TikTok and Instagram, Discover does not just identify past interests but tries to broaden them. Google prefers useful, reliable, and relevant content, recommending headlines that reflect content and quality images, while warning against misleading and sensational headlines. However, there is no simple formula for exposure. Users can influence recommendations by marking topics as less or more interesting and by following sources.

The article explains how Google Discover works, the personalized feed that appears in the Google app and on many devices. Unlike regular search, Discover tries to anticipate what might interest the user based on search habits, reading history, interests, followed sources, language, and location. The system gradually learns what intrigues each user and connects between fields—for example, someone reading about smartphones might receive an article about artificial intelligence. The article emphasizes that unlike TikTok and Instagram, Discover does not just identify past interests but tries to broaden them. Google prefers useful, reliable, and relevant content, recommending headlines that reflect content and quality images, while warning against misleading and sensational headlines. However, there is no simple formula for exposure. Users can influence recommendations by marking topics as less or more interesting and by following sources.