Data2Story turns a CSV file into a verified interactive news article using seven AI agents

Researchers from Oxford and Stanford have developed an AI system that utilizes seven specialized agents to transform raw CSV data into interactive, cited news articles. By automating the integration of web research and graphical visualization, the tool produces content where 93 percent of statements are supported by verifiable sources. This development suggests a shift toward automated data journalism, providing a standardized method for turning complex datasets into accessible reporting while maintaining a high level of factual transparency.