Using Generative Agents to Create Tip Sheets for Investigative Data Reporting

• URL: http://arxiv.org/abs/2409.07286v1
• Date: Wed, 11 Sep 2024 14:14:15 GMT
• Title: Using Generative Agents to Create Tip Sheets for Investigative Data Reporting
• Authors: Joris Veerbeek, Nicholas Diakopoulos,
• Abstract summary: 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.
• Score: 3.660182910533372
• License: http://creativecommons.org/licenses/by/4.0/
• 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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