Sign inGet started
Paper · arXiv

Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories

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 introduce Data 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...

AuthorsKevin Qinghong Lin, Batu EI, Yuhong Shi et al.
Primary categorycs.CV
Published9 June 2026
Last updated at source17 September 2026
cs.CVcs.CLcs.CYcs.HC
Embed this entry
<iframe src="https://silytics.si/embed/item/cb04b96e-993b-458d-bb93-d5c4c6f9fcbc" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.