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
When a news story appears on Clarrus, we may display a small thumbnail image sourced from one of the articles covering that story. These thumbnails are used solely to help users visually identify the story — not to reproduce or substitute for the original coverage.
All images are processed automatically to ensure they remain within thumbnail dimensions:
Maximum size: 300 × 200 pixels
Maximum file size: approximately 40 KB
Format: compressed JPEG
These constraints are enforced in code. We never display source images at full resolution.
2. Attribution and Linking
Every image displayed on Clarrus is credited to its source. Attribution appears visibly on each story card and story page (for example, "Via BBC News" or "Via Reuters"). Clicking any image or story card takes users directly to the original article on the publisher's website.
Where an image has been generated by AI, it is labelled as "AI Generated" and no publisher is credited.
We do not claim ownership of any third-party images. All images remain the copyright of their respective publishers, photographers, or agencies.
3. Fair Use Basis
Our use of thumbnail images is consistent with the fair use principles established in cases such as Kelly v. Arriba Soft Corp. (9th Cir. 2003) and Perfect 10, Inc. v. Amazon.com, Inc. (9th Cir. 2007). Specifically:
Transformative purpose: thumbnails are used to index and reference stories, not to replace the original coverage
Low resolution: images are substantially reduced in size and quality, limiting any substitution effect
Traffic generation: our use drives readers to the original publisher, not away from it
No commercial substitution: we do not sell or license images, and our display does not compete with the market for the original
We operate in good faith and take image rights seriously. If you believe our use of a specific image does not meet the above criteria, 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:
The URL of the Clarrus page where the image appears
A description of the image and your rights to it
Your contact details
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.
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:
which facts are consistently reported across outlets
how emphasis, tone, and framing differ between sources
how coverage evolves over time
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:
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.