Data2Story turns a raw dataset into a verifiable, multimodal web article, shown here with a dataset on the card choices of 1,354 respondents. | Image: Lin et al.
The authors demo the system on a dataset that's gotten little coverage so far, the 2026 FIFA World Cup schedule. From the schedule and host cities, it generates a climate-focused article with an interactive map.
About four in ten matches are slated for locations the players' union FIFPRO classifies as extremely high heat risk, with humidity rather than air temperature as the main driver. The authors stress these are typical climate conditions, not a forecast for the actual tournament.
Data2Story generates stories from datasets with zero human input, from World Cup stadium climates to ArXiv trends to how people spend their day. | Image: Lin et al.
An "Inspector" panel makes every claim traceable
