Using Generative Agents to Create Tip Sheets for Investigative Data Reporting
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866913497336512512 |
|---|---|
| author | Veerbeek, Joris Diakopoulos, Nicholas |
| author_facet | Veerbeek, Joris Diakopoulos, Nicholas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_07286 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Using Generative Agents to Create Tip Sheets for Investigative Data Reporting Veerbeek, Joris Diakopoulos, Nicholas Artificial Intelligence Computation and Language Machine Learning 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. |
| title | Using Generative Agents to Create Tip Sheets for Investigative Data Reporting |
| topic | Artificial Intelligence Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2409.07286 |