
Catherine Connolly says Ireland failing its younger generation as next debate looms
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
-44% Medium Left
- Politician Portrayal
-54% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias 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
8% Positive
- 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:
61% : "In this election, I believe I best represent the aspirations and values of young people - their hope, their fairness, their belief in peace and equality.60% : And then this particular one, which allows for research and policy.
50% : "It is interesting the comments and labels that have been used in relation to me... that I'm a loony left, that I'm a nun, (that) I'm populist in the manner of Trump, (according to) different commentators and different papers.
49% : Similarly asked if she would appoint one or other of two former MEPs, Mick Wallace and Clare Daly, to the Council of State, Ms Connolly replied: "I'm not going to speculate on who I put on the Council of State, which is a very important body that will advise me in relation to different matters.
*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.