Yes, Trump is terrible. But if there's a silver lining, it's a chance for progressives to reflect on what they got wrong | Simon Jenkins
- Bias Rating
18% Somewhat Conservative
- Reliability
40% ReliableFair
- Policy Leaning
40% Somewhat Conservative
- Politician Portrayal
-15% Negative
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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
-11% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
73% : This time, support for Trump was far stronger among minority groups.69% : Trump has to deliver on his promise to them.
66% : Trump was elected largely because a majority of Americans took a liking to him as a person.
66% : That is the opportunity Trump has so generously offered.
57% : The fact that 56% of non-graduates supported Trump suggests a strident voice from well outside the liberal camp.
44% : Instead, Trump will have to talk to Mexico and the rest of Latin America on border policing, as Britain must talk with the rest of Europe.
38% : The essence of Trump is that he is not a politician but an egotistical wheeler-dealer.
37% : In short, Trump has shown a refreshing rejection of the myth cited by so many presidents of the US as "the city upon a hill", the saviour of all mankind.
30% : Trump is said by his friends to be aware of the mistakes he made last time round.
27% : Certainly, Washington's bureaucracy is beyond comprehension, and Trump is right to seek its correction, if only at the hands of Elon Musk.
27% : Whatever extreme remarks Trump has made in the past, he is entitled to ask how long Europe expects US taxpayers to bear the cost of deterring putative Russian aggression.
27% : Trump might even "make America small again".
*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.