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Privacy Policy

Last updated: January 16, 2026

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Introduction

Clarrus ("we," "our," or "us") is committed to protecting your privacy. This Privacy Policy explains how we collect, use, disclose, and safeguard your information when you use our news aggregation and analysis platform.

Information We Collect

Information You Provide

Information We Collect Automatically

How We Use Your Information

We use the information we collect to:

Cookies and Tracking

We use the following types of cookies:

You can control cookie preferences through your browser settings, but disabling cookies may affect platform functionality.

Information Sharing

We do not sell your personal information. We may share information with:

Data Security

We implement appropriate technical and organizational measures to protect your personal information, including:

However, no method of transmission over the internet is 100% secure, and we cannot guarantee absolute security.

Your Rights

Depending on your location, you may have the right to:

To exercise these rights, contact us at hello@clarrus.org.

Data Retention

We retain your personal information for as long as your account is active or as needed to provide services. After account deletion, we may retain certain information as required by law or for legitimate business purposes.

Children's Privacy

Clarrus is not intended for users under 13 years of age. We do not knowingly collect personal information from children. If we learn we have collected information from a child under 13, we will delete it promptly.

International Users

Your information may be transferred to and processed in countries other than your own. By using Clarrus, you consent to such transfers. We ensure appropriate safeguards are in place for international data transfers.

Changes to This Policy

We may update this Privacy Policy from time to time. We will notify you of significant changes by email or through a notice on our platform. Continued use after changes constitutes acceptance of the updated policy.

Contact Us

If you have questions about this Privacy Policy, contact us at:

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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 diversity of outlets, political balance, recency and relevance.

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, 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.