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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:

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 and links shown on the platform are attributed to their original publishers. Story images are AI illustrations, labelled "AI depiction", or images from Wikipedia and Wikimedia Commons.

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.