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About Clarrus

We don't tell you what to think. We show you how it's being told.

Clarrus is an independent news analysis platform. We collect coverage from 65+ outlets across the political spectrum and use AI to reveal how the same story is framed differently depending on where you read it.

The problem we're solving

Trust in media is at a historic low. Not because outlets are lying, but because they frame. The same set of facts can become completely different stories depending on which details are emphasised, which voices are quoted, and what angle is taken.

Most people sense this. But seeing it for yourself meant opening ten tabs and doing the comparison manually. Nobody has time for that. So most people just pick an outlet they already agree with and stay there.

Clarrus does the comparison for you. Every story. Every day. Automatically.

Left-leaning

"Talks stall as Israel refuses to commit to a permanent end to the war. Humanitarian groups warn that continued fighting is catastrophic for civilians."

Centre

"Ceasefire negotiations continue in Qatar, with both sides exchanging proposals. Mediators express cautious optimism but say significant gaps remain."

Right-leaning

"Hamas rejects latest Israeli proposal, demanding full withdrawal before hostage release. Officials say militant group continues to use civilians as leverage."

Same story. Same day. Three completely different narratives.

How it works

  1. 1 We collect. Clarrus continuously ingests articles from 65+ established news outlets - left, centre, and right-leaning sources from the UK, US, and internationally.
  2. 2 We cluster. Articles covering the same underlying event are grouped into a single "story" using semantic similarity, shared entities, and timing.
  3. 3 We analyse. For each story, an AI model reads coverage from each political lane and identifies: what facts are universally reported, where emphasis diverges, and how the narrative differs.
  4. 4 You decide. The analysis is presented neutrally - you see the framing differences clearly, without being told what to make of them.

Stories are re-analysed as new coverage appears. What you read today reflects the current state of coverage, not a snapshot from when the story broke.

What Clarrus is not

How Clarrus differs from similar tools

Some media bias tools show you which outlets covered a story — and whether left or right outlets were more likely to report on it. That's useful for spotting coverage gaps: a story only one side picked up.

Clarrus goes one step further. When the same story is covered everywhere, we show you how the framing differs. The same arrest, the same vote, the same speech — read by a left-leaning outlet versus a right-leaning one — can tell completely different stories without a single false fact. That's the analysis Clarrus is built around.

Most tools tell you who's reporting. Clarrus tells you what they're emphasising, whose voices they're quoting, and what angle they're taking — across every lane, on the same event, side by side.

How we classify outlets

Each source is assigned a broad political orientation (left, centre, or right) based on long-term editorial patterns across many stories. Classifications are reviewed periodically and are not based on any single article or topic. They reflect observed tendencies in framing, not endorsement or condemnation of any outlet.

We cover a deliberate mix: outlets that readers across the political spectrum would recognise as authoritative within their tradition. Our goal is breadth and balance, not a perfect 50/50 split.

See it for yourself

Browse today's stories and see how 65+ outlets cover the news differently. Free to start.

Start reading free

Methodology

How Clarrus analyses news stories

Clarrus groups and analyses news coverage by comparing how multiple outlets report on the same underlying event.

Articles are continuously collected from a wide range of established news organisations across the political spectrum. These articles are clustered into stories using semantic similarity, recency, and shared subject matter.

For each story, Clarrus examines:

To ensure quality and efficiency, not all articles are analysed in full. Instead, Clarrus selects a representative subset of coverage prioritising:

Analyses are updated as new reporting appears. The goal is not to replace original journalism, but to help readers understand how different perspectives shape coverage of the same story.

Bias and perspective scores reflect algorithmic analysis of media coverage and may not capture all nuance or context.

Bias scoring explained

What the bias indicators mean

Clarrus uses bias scores to describe patterns in coverage, not to judge intent or accuracy.

Each news outlet is assigned a broad political orientation (left, centre, or right) based on long-term editorial tendencies identified across many stories. These classifications are reviewed periodically and are not based on any single article.

Within a story, bias indicators reflect:

  • how coverage is distributed across left-, centre-, and right-leaning outlets
  • where emphasis or framing differs between those groups
  • how strongly one perspective dominates the overall narrative

Bias scores do not mean that an outlet is unreliable, incorrect, or acting in bad faith. They are intended to help readers recognise how political or ideological perspectives can influence which details are highlighted, downplayed, or contextualised.

All bias indicators are approximate and should be interpreted as signals, not definitive labels.

Bias and perspective scores reflect algorithmic analysis of media coverage and may not capture all nuance or context.

Editorial independence

How Clarrus maintains independence

Clarrus does not produce original reporting and does not promote any political viewpoint.

The platform does not accept payment from news organisations in exchange for inclusion, placement, or favourable analysis. Stories are selected and ranked using automated systems designed to prioritise coverage breadth, diversity, and relevance.

Clarrus does not edit, rewrite, or modify source material. Headlines, images, and links shown on the platform are attributed to their original publishers.

AI-generated analyses are designed to summarise patterns across reporting, not to introduce new claims or opinions. Final interpretation always remains with the reader.

Clarrus exists to increase transparency in how news is presented - not to tell readers what to think.

Bias and perspective scores reflect algorithmic analysis of media coverage and may not capture all nuance or context.