FactForge: AI-Assisted News Investigation Collaboration for Small Outlets

FactForge is a cloud-based, AI-assisted investigation collaboration platform designed specifically for small news outlets with limited resources. These outlets often struggle to tackle complex investigations, but FactForge provides a streamlined way to gather, analyze, and publish investigative journalism. The platform uses natural language processing (NLP) and machine learning algorithms to help journalists identify patterns, connections, and potential leads in a vast amount of data.

FactForge’s user-friendly interface allows journalists to upload relevant data, which is then analyzed by the AI engine. The platform generates a “FactMap” – a visual representation of the investigation’s key findings and leads. This map can be shared among team members, facilitating collaboration and communication. The AI engine also suggests potential story angles, interview questions, and follow-up leads, helping journalists to refine their investigation.

To test FactForge, we propose partnering with a small, investigative journalism outlet to tackle a real-world case. The outlet will provide access to the investigation’s data, and our team will work with them to develop a custom FactMap and AI-driven analysis. The results will be shared publicly, and the platform will be refined based on feedback from the outlet and other potential users. By providing a scalable solution for small outlets, FactForge aims to democratize investigative journalism and amplify the impact of local reporting.