🧵5/N
can Data2Story discover findings on underexplored data?
we ran it on fresh 2026 datasets, covering sport, science, and society.
(a) FIFA 2026 schedule.
https://data2story.github.io/new/fifa26_schedule/blog_opus47_0525_1345/viewer.html
Data2Story reads it as a climate document, not a simple sports calendar: extreme weather, not air temperature, drives the worst penalties.
(b) arXiv submissions through June 2026.
https://data2story.github.io/new/arxiv/blog_opus47_0525_1802/viewer.html
Data2Story finds a tipping point: computer science crossed 50% of all posts in May 2025, then LLM “slop” forced new rejection protocols.
(c) Time-use diaries across six decades.
https://data2story.github.io/new/mtus/blog_opus47_0525_1248/viewer.html
Data2Story frames the day as a fairness ledger: women do more unpaid work, and the gap barely moves — only its composition shifts.
these angles exist in the data. Data2Story serves as an alternative way for newsrooms to surface them.