These Terms of Service govern your use of Clarrus ("we", "us", or "our") at clarrus.org. By creating an account or using Clarrus, you agree to these terms. Please read them.
1. What Clarrus Is
Clarrus is an automated news analysis service. We collect publicly available news articles from a range of sources and use AI to analyse how different outlets frame the same story. We do not produce original journalism and we do not express political opinions.
Clarrus is a tool for understanding media coverage — not a replacement for reading primary sources, and not a statement of fact about any news event.
2. Accuracy and AI-Generated Content
Our analysis is generated automatically using large language models. While we work to make it accurate and fair, AI analysis can contain errors, omissions, or mischaracterisations. Specifically:
Framing summaries and perspective breakdowns are approximate. They summarise patterns across sources, not ground truth.
Bias classifications (left / centre / right) reflect broad editorial tendencies and may not capture the full picture of any individual outlet.
Analysis may not capture irony, satire, or editorial nuance.
We make no warranty, express or implied, about the accuracy, completeness, or fitness for any purpose of any analysis on the platform. Do not rely on Clarrus as your sole source of information for any important decision.
3. Your Account
To access certain features, you need to create an account. You are responsible for keeping your login credentials secure. You must not share your account with others or use it in a way that harms the platform or other users.
You must be at least 16 years old to create an account.
4. Acceptable Use
You agree not to:
Scrape, copy, or republish Clarrus analysis in bulk without permission
Use the service in a way that disrupts or damages it
Attempt to access accounts, systems, or data that isn't yours
Use automated tools to access the platform in ways that exceed normal usage
5. Subscriptions and Payments
Free accounts get limited daily access to full story analysis. Paid subscriptions provide unlimited access and are billed monthly or annually through Stripe. Payments are non-refundable except where required by law.
You can cancel your subscription at any time. Cancellation takes effect at the end of your current billing period.
6. Intellectual Property
The analysis Clarrus generates is our intellectual property. Source articles remain the property of their original publishers — we link to them and do not reproduce them in full. Clarrus's brand, design, and code are protected by copyright.
7. Disclaimer and Limitation of Liability
Clarrus is provided "as is" without warranties of any kind. We are not liable for any loss or damage arising from your use of the service, including reliance on any analysis or information displayed on the platform.
We are not a registered financial, legal, or medical advisor. Nothing on Clarrus should be taken as professional advice of any kind.
8. Changes to These Terms
We may update these terms from time to time. We'll notify you of significant changes by email or via the platform. Continued use after changes take effect means you accept the revised terms.
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.