AI-powered automation offers a range of possibilities for productivity, as well as the potential to change the types of products we can provide to news audiences. This project will explore how authoring tools can help journalists gather information, prioritize what is found, and utilize large language models to complement human-generated stories. The project will begin by studying reporters and editors, documenting their current work processes and studying existing research on the needs and desires of news audiences. The project will prototype a user experience for a new and improved content management system and experiment with large language model (LLM) generation.
Outline for the industry what journalism needs from a future-facing content management system for reporters and editors. This will include an information-mapped workflow and a tested user experience.