Data2Story: Verifiable Multi-Agent Journalism

In this AI Research Roundup episode, Alex discusses the paper: 'Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories' The paper introduces Data2Story, a multi-agent framework designed to automate the complex process of end-to-end data journalism. To solve the issue of hallucinations and lack of verifiability in automated storytelling, this framework establishes a virtual newsroom composed of seven specialized agents. These agents collaboratively handle tasks ranging from web-context hunting and statistical code execution to visual design and HTML assembly. Crucially, a specialized Inspector agent maps every sentence, statistic, and visual back to its exact Python code or external URL provenance. The framework was successfully evaluated against human-written articles from major publications like The Economist. Paper URL: https://arxiv.org/abs/2606.11176 #AI #MachineLearning #DeepLearning #DataJournalism #MultiAgentSystems #LLMs #FactChecking

Resources:
- GitHub: https://github.com/QinghongLin/data2story-skill

Видео Data2Story: Verifiable Multi-Agent Journalism канала AI Research Roundup