用AI代理协作生成调查数据报道的线索，更准更吸引人。
Using Generative Agents to Create Tip Sheets for Investigative Data Reporting
- 三个专业AI角色协同分析数据，自动生成报道线索。
- 相比基线模型，生成线索更具新闻价值和准确性。
- 适合调查记者、数据编辑及媒体机构使用。
本文提出一种基于生成式AI代理的系统，用于生成调查数据报道的线索清单。系统包含分析师、记者和编辑三个专用代理，协同从数据集中生成并优化线索。我们通过真实调查故事验证该方法，结果表明，与无代理的基线模型相比，该系统通常能生成更具新闻价值且更准确的洞察，但不同故事间存在一定差异性。研究显示，生成式AI在为调查性数据报道提供线索方面具有巨大潜力。
原文摘要 · Abstract (English)
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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