Letters to the Editor, December 28th: On the Occupied Territories Bill, and subsidising private education
- Bias Rating
4% Center
- Reliability
50% ReliableFair
- Policy Leaning
4% Center
- Politician Portrayal
N/A
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
-22% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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:
65% : From golfers to opera singers, the story in broad terms is often similar, with driven individuals paying for their children to access the best teaching which is made possible or affordable through state support.56% : Various organisations receive public funding but also expect parents or students to pay in order to train and perform, from the GAA, FAI, the IRFU to arts organisations and myriad quangos.
45% : As far back as July, the World Health Organisation had documented more than 1,000 attacks on healthcare facilities by Israeli forces in Gaza and the West Bank that directly killed hundreds of people, including many medical personnel.
32% : The EU has behaved disgracefully regarding the slaughter in Gaza and Ireland should not permit itself to be restricted by such immoral indifference.
*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.