
A Cold Peace With China
- Bias Rating
- Reliability
20% ReliableLimited
- Policy Leaning
76% Very Right
- Politician Portrayal
-40% Negative
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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
11% Positive
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Conservative

Contributing sentiments towards policy:
45% : This international structural change explains the political rise of Trump.40% : Trump understands this structural fact and puts America, not its so-called "liberal world order," first.
37% : Trump sought to avoid new military entanglements; extricate the U.S. military from its twenty-year occupation of Afghanistan; engage potentially adversarial states like North Korea, China, and Russia in ways that would lessen the possibility of conflict; deter Iran from continuing to destabilize the Middle East without escalating to a major war in the region; and shift the burden of paying for allied defense to wealthy allies rather than American taxpayers.
36% : If Trump wins a second term, the intra-party policy debate between neoconservative primacists, China hawks, and "America First" conservative realists will be decided, provided that this time he hires people who agree with his views.
28% : While Trump talks tough as a means of pressuring other leaders and appeasing his domestic base, as in the case of China during the Covid years, he never acted like a bullying neoconservative primacist.
22% : Even with respect to Iran, which appears as a lone exception with the killing of Soleimani and the cancelation of the JCPOA, Trump pulled back several times from the brink of using significant U.S. military force.
*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.