Rishi Sunak: Getting customers back to hospitality was 'matter of social justice'
- Bias Rating
-4% Center
- Reliability
40% 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
15% Positive
- Liberal
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:
52% : Hugo Keith KC, lead counsel to the inquiry, asked Mr Sunak whether he was "surprised" by the "relative absence of debate" on March 23 2020 as to whether a mandatory stay-at-home order should be postponed pending the impact of measures already taken - including the closure of schools, hospitality, leisure and non-essential retail.50% : "So those jobs, I think, as a matter of social justice, were particularly important to try and safeguard."READ MORE:Evidence led at the inquiry has shown that key scientific advisers had sometimes referred to the then-Chancellor as "Dr Death" over controversial policies such as the Eat Out to Help Out discount scheme used to promote half-price restaurant meals UK-wide during August 2020.England's chief medical officer Professor Sir Chris Whitty is said to have privately dubbed it 'eat out to help the virus'.
*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.