Articles
Notes from the people building Newsmap — how the data is gathered and classified, what the labels mean, and how to read the map well. These are written by us, not auto-generated.
- Why we built an event map (and what it is not)
The thinking behind Newsmap: what a real-time event map is good for, where automated classification falls short, and how to read it responsibly.
- Reading the map: filters, heatmap, and the timeline
A practical guide to getting the most out of Newsmap — using filters, the heatmap, the timeline scrubber, country briefs, and shareable URLs.
- Understanding veracity and severity
Two of the most important — and most misread — labels on the map. What "confirmed" versus "reported" really means, and how severity is scored from 0 to 5.
- Where our data comes from — and how we verify it
Newsmap aggregates from Telegram channels, RSS feeds, and news APIs. Here is how those sources differ, how we geolocate them, and the limits you should keep in mind.
- How Newsmap classifies events
A plain-language walkthrough of the ACLED-based taxonomy Newsmap uses — disorder types, event types, and actor interactions — and how each report is labelled.