Using Generative Agents to Create Tip Sheets for Investigative Data Reporting

Joris Veerbeek; Nicholas Diakopoulos

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arXiv · 2409.07286

Using Generative Agents to Create Tip Sheets for Investigative Data Reporting

Joris Veerbeek·Nicholas Diakopoulos

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Abstract

This paper introduces a system using generative AI agents to create tip sheets for investigative data reporting. Our system employs three specialized agents--an analyst, a reporter, and an editor--to collaboratively generate and refine tips from datasets. We validate this approach using real-world investigative stories, demonstrating that our agent-based system generally generates more newsworthy and accurate insights compared to a baseline model without agents, although some variability was noted between different stories. Our findings highlight the potential of generative AI to provide leads for investigative data reporting.

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Joris Veerbeek, Nicholas Diakopoulos. 2024-09-11. Using Generative Agents to Create Tip Sheets for Investigative Data Reporting. https://arxiv.org/abs/2409.07286

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