Transparency
Sources & methodology
newsGlobal is a global news discovery layer that maps real-time headlines by continent and country and links to the original source. Stories appear as short summaries with attribution, not full-text reproductions.
What we publish
For each story we show a headline, a short discovery excerpt, and — once a story has been converted — an original summary written in our own words, always with clear attribution to the source publisher and a prominent link to the original article. We do not republish source articles in full. Where a summary has not yet been produced, the story shows only a short excerpt and a link to the source, and is not indexed by search engines.
Original guides and research briefs
Our reading guides explain how to explore and assess reporting. They are original editorial text prepared with AI assistance and checked against the linked sources or the site’s features. Dated research briefs identify their supporting reports. Neither format implies firsthand reporting by newsGlobal.
How stories reach the map
Country and topic assignments are automated discovery aids. A story may concern several places or mention a country in passing. Region counts can overlap and should not be interpreted as unique worldwide story totals, measures of risk or evidence of territorial control. Our map guide explains the filters and their limits.
How we select sources
Stories are aggregated from public news feeds and a partner news API spanning six continents. We prioritise established outlets with a masthead and a corrections process. Origin note: newsGlobal began as a Nepal-focused project and grew into a worldwide feed; our coverage today is global, with Nepal as one region among many.
What we exclude
- Non-English-only items with no usable English rendering.
- Sources on our exclusion list for reliability or licensing reasons.
- Content we cannot attribute to a named source with a working link back.
How we use AI
Summaries are drafted by a language model running locally and are constrained to the facts of the source — the model is instructed not to introduce claims, names, numbers or quotes that are not in the original. Every summary then passes a deterministic quality gate (length, source attribution, and an anti-copying check) before it can be published. No model decides whether a story may be published; publication rights are enforced by fixed rules, not by AI. Classification into sections is model-assisted and audited against a labelled test set.
Corrections
If a summary is inaccurate, a source is misattributed, or a publisher wants a story removed, email [email protected]. We act on takedown and correction requests promptly. See also our about page.