Transparency

Where our news comes from

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Argon aggregates AI coverage from hundreds of outlets worldwide. This page explains how those sources are selected, how they shape what you read, and how we score them — without pretending any of it is neutral.

Our approach to sources

We ingest reporting from hundreds of outlets covering artificial intelligence — spanning major nationals, technology publications, business press, and specialist AI media across multiple regions and languages.

We don't editorially select which outlets to trust or distrust. Instead, Argon derives each outlet's stance and substance profile automatically, based on their actual AI coverage over the preceding 12 months. What an outlet has consistently written — not what we think of them — shapes how their reporting is contextualised on Argon.

This matters because AI coverage is not uniform. The same development can read as a breakthrough in one publication and a warning sign in another. Our job isn't to tell you who's right. It's to show you both — and where they diverge.

How sources appear on Argon

Every story on Argon is a synthesis, not a single article. Beneath each piece you'll find the sources that contributed to it: the number of outlets covering the story, a mood indicator reflecting the overall tone of coverage, and a balance signal showing whether reporting was broadly aligned or notably split.

This gives you something a single byline can't: a sense of whether a story is contested or settled, amplified or niche, optimistic or cautious — before you decide whether to read deeper.

Source attribution is always visible. We don't obscure where information comes from; we add context around it.

Scores and methodology

Two scores appear alongside outlet contributions:

Stancereflects how an outlet has positioned itself toward AI development over the past 12 months — from broadly sceptical to broadly favourable. This is derived from coverage patterns, not hand-curated by us. We don't assign these values based on editorial opinion.

Substancereflects the depth and specificity of an outlet's AI reporting — the degree to which coverage goes beyond headlines into technical, policy, or analytical territory.

Both scores are recalculated on a rolling basis. As outlets shift their coverage, their profiles shift with them.

Looking ahead

Source data on Argon is already useful. It's about to become significantly more powerful.

Coming soon

The Pro Source Explorer

Deeper source tools for Pro users — outlet-level dashboards showing how individual publications have covered specific topics over time, trend analysis across the source network, and the ability to filter your feed by stance, substance, or geography.

Transparency isn't a feature. It's the foundation.

See it in practice — every story on Argon shows you the source landscape behind it.

Start reading →