TipBot2023-2024

Less than 10% of submitted news tips are usable by newsrooms today, often due to lack of critical information and difficulty keeping track of tips coming in. Tipbot, an LLM-powered tool, aims to address this issue by analyzing submitted tips and providing relevant, automated responses for missing information. The project aims to refine the prototype with the partner newsroom THE CITY, create workflows, playbooks, and code to integrate a CRM system and expand Tipbot into a platform-agnostic tool. The project will make the reader engagement process more effective for both readers and journalists, strengthening connections between newsrooms and their audiences.

Team

Dana Chiueh, `23 BS, Stanford University; Cheryl Phillips, Director of Big Local News, Stanford University; THE CITY