Subline is an AI-powered tool that helps journalists make sense of unstructured newsroom archives by mapping relationships between people, events, and institutions through a dynamic knowledge graph. Because archival reporting is often difficult to search, critical context can be lost and important stories can go untold. Building on an existing prototype linked to a browser extension, this research project refines the underlying knowledge graph to improve accuracy, usability, and adaptability across newsrooms.
Avery Louis, BS Candidate in Engineering (Stanford); Hannah Woodworth, MA Candidate in Data Journalism (Stanford); Lucy Zimmerman, BS/MS Candidate in CS (Stanford); Advised by Dana Chiueh (Minnesota Star Tribune) and Serdar Tumgoren, Visiting Professor (Stanford)