Yahoo News Article RatingHead teacher at school with crumbly concrete had to tell Government to add it to closure list
- Bias Rating
10% Center
- Reliability
80% ReliableGood
- Policy Leaning
N/A
- Politician Portrayal
20% Positive
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 |
|---|---|---|
| "In a letter sent to parents on Friday, warning them of a possible delay in reopening the school, Mr Smith said he was determined to ensure pupils would be able to return this week, even if that meant a creative approach had to be taken." | Positive | 12% Conservative |
| "Mr Smith said he was first made aware of the presence of RAAC, or reinforced autoclaved aerated concrete, at the secondary school in May after it was identified during a roofing work audit." | Positive | 8% Conservative |
| "Peter Smith said up to a third of classrooms at Farlingaye High School in Suffolk were potentially unusable days before pupils return for the new academic term." | Positive | 2% Conservative |
Upgrade your account to obtain complete site access and more analytics below. | ||
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:
% :*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.