Data and Investigative Journalism

How iTromsø built a data gathering tool which allows it to supercharge its local investigative journalism

iTromsø is a 22-person newsroom in northern Norway. It had a two-pronged problem: journalists were spending hours wading through municipal documents every day, all while competing with another local larger newsroom – for stories as well as readers. The solution was to build DJINN, a tool that automatically monitors public data sources, ranks documents by newsworthiness, and flags story leads for journalists to pursue. That frees up time for journalists to call sources, and work the stories that the tool surfaces. Now the team has gone further, building a layered system of agents and sub-agents that actively supports complex local investigations, with editorial supervision at every step. In this webinar we’ll learn how the iTromsø team built a tool to solve a clear editorial problem and how AI agents are allowing this small team to cover even more and deeper investigative stories.

Presented by Rune Ytreberg, Data Editor, iTromsø, Norway

Click the image to watch the webinar! (For first time visitors to the WAN-IFRA Knowledge Hub. There will be an initial registration step.)

Write-up coming soon