TempoTracker: AI-Driven News Beat Timeline Visualization

TempoTracker is an interactive, AI-driven visualization tool designed for newsroom teams and investigative journalists. It allows users to create a dynamic timeline of news beats, linking related stories and events across different sources and dates. This tool works by analyzing large datasets of news articles, extracting relevant keywords and entities, and creating a network of interconnected beats. TempoTracker helps journalists and researchers to identify patterns, connections, and clusters of activity that may have been missed by traditional reporting methods. By visualizing the tempo of news beats, TempoTracker empowers newsrooms to identify emerging trends, anticipate breaking news, and uncover new storylines.

A first step to test TempoTracker is to pilot it with a small team of investigative journalists, providing them with a dataset of recent news stories and asking them to identify key beats and connections using the tool. This will help refine the algorithm and user interface, ensuring that TempoTracker meets the needs of its intended users.