
David Willetts: A first job and help towards buying a home might make the Conservatives less at sea in the polls | Conservative Home
- Bias Rating
- Reliability
10% ReliableLimited
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
-28% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative

Contributing sentiments towards policy:
59% : And there was even an offer specifically for younger voters - the First Job Bonus which he explained as follows: "When someone takes their first job, the first £5,000 they pay in National Insurance won't go to the taxman, it will go towards a deposit on their first home, or it will go towards their savings for later life.57% : The LibDems have taken many prosperous middle class pro-business pro EU seats in the South-east and now seem well dug in there.
51% : It appeals particularly to voters with traditional anti-liberal cultural attitudes which had also been associated with voting for Brexit.
44% : And these voters who have defected to Reform from Conservatives are also more likely to see the Conservatives as incompetent - indeed they may regard what has happened to Brexit as evidence for that.
42% : Labour has suffered an extraordinarily rapid decline in support since entering Government.
39% : However that Brexit Boris Coalition has in turn broken down because of the failure of Brexit to live up to expectations.
39% : They will gradually displace the core Reform block - older Brexit voters with lower education levels and culturally conservative attitudes.
37% : The old Tory Coalition based on middle-class professionals had been broken by 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.