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Who are the 10 biggest villains of Brexit?
- Bias Rating
10% Center
- Reliability
45% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
N/A
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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
-4% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
52% : The numero uno head honcho of Brexit opportunism: a journalist who built his career on writing anti-EU stories from Brussels and a politician who saw the leadership of the Leave campaign as his chance to become prime minister.52% : But at the time, she was waving one million asylum seekers into Germany, mostly from Syria, and insisted on the movement of people as one of the fundamental "four freedoms" of the EU.
50% : Hiding behind a refusal to work with the hated Tories, he ended up campaigning ineffectually to stay in the EU only because the overwhelming majority of Labour members wanted him to.
49% : As the dominant force in EU politics, she could have given David Cameron concessions on the free movement of people that might have swung the referendum for Remain.
49% : We do need to note, however, that leaving the EU was a decision made by the British people at the ballot box, in a democratic exercise in which more people voted than in any election.
38% : He was the first serious cabinet minister to endorse withdrawing from the EU, which until that point had been an extreme and slightly cranky position.
28% : In the decades before the referendum, The Sun, The Times, the Daily Mail and the Telegraph all enjoyed a running campaign of blaming the EU for all sorts of terrible things that no one can remember now, at the behest of proprietors who were ideologically opposed to European integration.
*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.