Cambridge News Online Article Rating- Bias Rating
Center
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
N/A
| Sentence | Sentiment | Bias |
|---|---|---|
| "With 85" | Positive | 0% Conservative |
| "After the losses last week we saw an attempt at a recovery early on in the session, fuelled by hopes of a Putin/Biden summit later in the week, but once cold water was poured on that idea and news came through of an actual clash between Russian and Ukrainian troops the market went firmly back into 'risk off' mode." | Positive | 8% Conservative |
| "Bolstering investor sentiment early on, overnight the French president, Emmanuel Macron said Vladimir Putin and Joe Biden had agreed to attend a summit aimed at de-escalating the crisis, but Moscow later said there was no concrete arrangements for talks." | Negative | -2% Liberal |
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
50% : With 85% of the UK's population double-vaccinated, and 38 million booster jabs administered, No 10 said it had concluded "Government intervention in people's lives can now finally end".*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.