@KevinQHLin: thanks @_akhaliq for sharing our Data2Story! Turn the ‘Humanity's Last Exam’ dataset into a generative blog. Explore mo…

X AI KOLs Following Papers

Summary

Data2Story is a multi-agent framework that transforms datasets into verifiable multimodal stories, acting as an end-to-end data journalist with evidence grounding and multimodal generation.

thanks @_akhaliq for sharing our Data2Story! 🔮Turn the ‘Humanity's Last Exam’ dataset into a generative blog. Explore more agent-generated stories here https://t.co/TIIMWBamyU https://t.co/FU6uAqKdgV
Original Article
View Cached Full Text

Cached at: 06/17/26, 03:45 AM

thanks @_akhaliq for sharing our Data2Story!

🔮Turn the ‘Humanity’s Last Exam’ dataset into a generative blog.

Explore more agent-generated stories here https://t.co/TIIMWBamyU https://t.co/FU6uAqKdgV


Data Journalist Agent (Data2Story)

Source: https://data2story.github.io/ Data2Story logo

Transforming Data into Verifiable Multimodal Stories

1University of Oxford2Stanford University

✉ Corresponding authors

University of OxfordStanford University

All articles are generated by our Data2Story agent. Open any story to explore!

Abstract

Data tells stories that shape society; the data journalist’s job is to turn raw information into stories non-experts can trust. A high-quality news feature takes a newsroom team weeks: hunting for context, running statistics, choosing an angle, and designing visuals. Recent agents handle individual steps well: data-science agents close the analysis loop, while design agents synthesize beautiful websites.But can an agent serve as a data journalist end to end?We introduceData Journalist Agent (Data2Story), a multi-agent framework that orchestrates specialized roles into a single virtual newsroom. Data2Story contributes two innovations.(i) Claims are evidence-grounded:an Inspector links every number, angle, and asset back to data, code, or an external reference.(ii) Articles are multimodally generative:rather than defaulting to plain text and static charts, Data2Story reasons about what readers will want to see, then deploys multimodal tools, such as interactive maps for geography and audio for music. We evaluate Data2Story on 18 articles, each paired with the originally published expert piece, along four axes:(a) human–agent angle coverage;(b) rubric evaluationwith 53 participants across five dimensions;(c) computer-use agents as judges, a cost-saving proxy for how readers navigate interactive articles; and(d) verifiability**, where a coding verifier re-executes statements against the data and checks claims against references. Data2Story produces competitive, evidence-traceable multimedia stories, with particular strength in transparency and auditability. Human articles retain an edge in editorial angle, creative design, and presentation. We position Data2Story as a collaborator for journalists, enabling more evidence-based, transparent, and verifiable reporting.

AK (@_akhaliq): Data Journalist Agent

Transforming Data into Verifiable Multimodal Stories

Similar Articles