Details you only notice from far away
onthepluto shows how different parts of the world see the same events. Every day, more than 350 outlets on every continent — over 10,000 headlines — are matched into stories: who covers an event, how much, first or barely at all. On top of the facts, we find what lines up in the news.
Headlines in different languages that report the same thing are gathered into one story. For each part of the world you see how much it writes about it compared with usual, who reported first and who stayed almost silent. We compare each region by the share of its own headlines, not raw counts — otherwise the most prolific outlets would drown out everyone else.
“Who writes about whom” — which countries each part of the world names, and how that changes week to week. “Who is in the headlines” — the people named most, and where. “What the world missed” — stories big in one part of the world and barely noticed elsewhere. “Incidents” — disasters and accidents: facts only, who covers them and how.
In the topic sections — from space and business to cars and travel — code finds topics that appear together more often than usual, and a language model describes the finding in plain words, citing the news. A finding claims no causes: it says what coincided and writes down what should happen next, and two weeks later we check it against the news. What the links do not back is never published.
Open feeds of agencies, newspapers, government bodies and specialist outlets from 13 parts of the world — from Russia and the US to Africa, Latin America and Oceania. Every news item is a link to the original. Headlines are translated on our own server; we never take the outlets’ images: people get Wikipedia photos, countries their flags.
A Telegram channel with a morning digest, RSS for every section, install on your phone as an app, notifications about new findings, and five short games made of today’s news.
Found a mistake? Every story and every finding leads to its sources.
Headlines are translated with open models: OPUS-MT (Helsinki-NLP, CC BY 4.0 license) and, for German, M2M100 (Meta, MIT license). Photos of people come from Wikipedia (Wikimedia Commons, free licenses), flags from flag-icons (MIT).