
If Starmer is on a US charm offensive, he must meet Trump as well as Harris | Kim Darroch
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-8% Center
- Politician Portrayal
12% 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
32% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
84% : Back in 2016, Trump was ever-present.65% : In 2016, Trump won them by about 70,000 votes.
58% : It fits perfectly with the nightmarish image of America that Trump has been peddling for decades and that his supporters share: remember, in his 2016 inauguration speech, his description of "rusted-out factories scattered like tombstones across the landscape of our nation".
56% : However - as I am sure the British embassy in Washington are advising - it is important that if Starmer meets one, he meets both, even if this means taking time out from the UN to connect with Trump.
45% : And however badly Trump performed in the debate, however visible his personal decline, he remains for many of us the likelier winner.
44% : Some of the baits she dangled in front of Trump were so obvious that they almost materialised under the studio lights: yet he swallowed every one.
43% : She needs to take some risks, especially with supposedly hostile media outlets such as Fox News; it's about contesting the space, and the audience, that Trump currently dominates.
41% : Otherwise they may drift back to Trump.
25% : Trump is telling them their jobs have gone overseas or to illegal immigrants because Washington doesn't care: but he offers no policy solutions beyond the widely derided proposition of tariffs on imports.
*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.