
DANIEL JOHNSON: Gleeful Remainers love to blame all our ills on Brexit
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
8% Positive
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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
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- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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100%
Conservative

Contributing sentiments towards policy:
69% : Gleeful Remainers love to blame all our ills on Brexit.65% : They assume that anything that goes wrong in the economy, or indeed all of society, must somehow be blamed on Brexit.
63% : Yet these are the people shouting from the rooftops that Brexit has failed.
62% : Leaving aside the IMF's unreliable record in economic forecasting, it is actually hugely revealing that this particular organisation did not single out Brexit as the cause of all our woes.
60% : Yet others do feel genuinely disappointed by the results of Brexit.
56% : Not a word about Brexit.
56% : The real reasons that Brexit has not yet delivered all the many dividends for which we hoped are not hard to find -- and in many cases have nothing to do with leaving itself.
51% : Unfortunately, the pandemic also had longer-term consequences, including an unprecedented rise in taxation to fund a bigger state.
48% : Like countless other members of the global elite who held forth on Brexit, she took it for granted not only that she must be right but that she would be obeyed.
47% : Take the Guardian's Polly Toynbee, who ranted yesterday at the 'irrelevant coterie of cultists' who supported Brexit.
42% : This third anniversary of Brexit ought, then, to have been a moment for fair-minded reflection on the progress we have since made -- and what more can be done.
42% : This third anniversary of Brexit ought, then, to have been a moment for fair-minded reflection on the progress we have since made -- and what more can be done.
*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.