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Traditionally, newsrooms have adapted content for a broader audience, curating front pages and other editorial packages to reflect the interests and priorities of their general readership. In recent years, sophisticated recommendation algorithms, like those used by the New York Times, have refined this process, using user behavior and editorial judgment to surface relevant stories.
To understand the full scope of how LLMs are transforming news personalization, it helps to break down the process into three key areas: how stories are told, which stories are shown, and how readers are drawn in. These reflect the evolving notion that AI is shaping not just what we read, but how we engage with the news.
Personalizing the News: How LLMs Can Adapt the News Experience to Suit You was originally published in Generative AI in the Newsroom on Medium, where people are continuing the conversation by highlighting and responding to this story.
