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Image & Copyright Policy

Last updated: October 2026

Clarrus is a news analysis platform that aggregates publicly available articles from a wide range of publishers. This page explains how we handle images associated with those articles, how we attribute them, and what to do if you believe your image rights have been affected.

1. How We Use Images

Clarrus does not display photos from news publishers. We do not copy, store or show photographs that appear in the articles we analyse, at any size.

Where a story on Clarrus has an image, it is one of two kinds:

Many stories have no image at all and appear as text only.

2. Attribution and Linking

Where an image has been generated by AI, it is labelled "AI depiction" and no publisher is credited, because no publisher image is involved. Images that come from Wikimedia Commons are not AI-generated and carry no such label.

Each Clarrus story page links to the original articles on the publishers' own websites. Outlet names and logos shown next to those links are used only to identify the outlet.

We do not claim ownership of any third-party content. Articles, headlines and other material remain the property of their respective publishers, photographers, or agencies.

3. Publisher Photos

Earlier versions of this policy described small publisher thumbnails. Clarrus no longer displays them. Photographs taken from publisher articles are not used anywhere on the site, in the mobile app, or in the preview images shown when a Clarrus link is shared.

We operate in good faith and take image rights seriously. If you believe an image on Clarrus affects your rights, please contact us using the details below.

4. Takedown and Removal Requests

If you are a copyright holder or an authorised representative and you believe an image on Clarrus infringes your rights, please contact us at:

hello@clarrus.org — subject line: Image Removal Request

Please include:

We will review and respond to all legitimate requests within 48 hours and remove or replace the image promptly if required.

5. Third-Party Content

Article headlines, excerpts, and metadata displayed on Clarrus are sourced from publicly available RSS feeds and article pages. These are used in short, non-substitutive form to enable analysis and identification of news coverage. All original content remains the property of its respective publisher.

6. Contact

For any questions about this policy, email hello@clarrus.org.

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 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.