
PM risks 'significant backlash' over national insurance rise, says Hammond
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
24% Somewhat Right
- Politician Portrayal
N/A
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
N/A
- 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:
57% : The shadow foreign secretary, Lisa Nandy, said the party supports the "broad principle" of increasing taxes for the wealthy to pay for NHS and social care.47% : Hammond is among a number of senior Conservatives who oppose the planned rise to fund an overhaul of social care, including the former prime minister John Major, the former lord chancellor David Gauke and the former Tory leader Iain Duncan Smith.
44% : The Labour frontbencher said the prime minister would "load the entirety of the cost of social care on to supermarket workers [and] delivery drivers, who are already suffering with high childcare costs, high housing costs and who kept us going through the pandemic".
40% : Increasing national insurance contributions (NICs) to pay for social care would provoke a "very significant backlash" for Boris Johnson, the former chancellor Philip Hammond has said.
*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.