
Truss v Sunak: how do Tory PM contenders differ on policy?
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-30% Somewhat Left
- Politician Portrayal
-3% Negative
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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 |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
67% : She is backed by the energy secretary, Kwasi Kwarteng, who is relatively strong on renewable energy, and another backer, Vicky Ford, says she was very supportive of Cop26.61% : Commentators have suggested this means a focus on tax cuts and deregulation, rather than high spending and investment.
56% : Truss has bemoaned the quality of the state school she attended, which critics swiftly pointed out occurred under Conservative governments, and has promised to give everyone "the same opportunities" so they are "able to know that the town they are born in has opportunity".
55% : Truss has pledged to reverse the national insurance rate rise, which was designed to fund health and social care.
45% : He has said he aims to cut taxes but wants to tackle inflation first.
45% : Sunak came out early for Brexit in the run-up to the referendum.
45% : He has reportedly backed proposals on the "Northern Ireland protocol" and, as chancellor, promoted "freeports" around Britain as one way of benefiting from Brexit.
40% : Truss was a remainer in the referendum campaign but has since become a keen convert to Brexit.
*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.