
Trump appointees signal a new hawkish China policy
- Bias Rating
- Reliability
90% ReliableExcellent
- Policy Leaning
10% Center
- Politician Portrayal
-10% 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
25% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
49% : The Biden administration did make strides in an area that Trump, in his first term, neglected: building security partnerships with allies that have rattled Beijing.48% : Morris said that it is possible that Trump could leverage the actions of a hawkish Cabinet to strike deals with Beijing.
46% : "The Chinese have a tendency to use individuals close to Trump with significant economic ties to China to convey messages and foster back-channel diplomacy," said Yun Sun, director of the China program at the Stimson Center.
37% : According to individuals familiar with his plans, Trump is also expected to push for a reversal of the ban on TikTok, the popular Chinese-owned social media app -- a pledge he made during his campaign.
34% : But, he added, "this does not necessarily translate to a greater political willingness to defend Taiwan as there's the prospect of Trump cutting a deal with Xi.
32% : As Beijing prepares to confront a more critical Cabinet under Trump, it is also grappling with domestic challenges that could weaken its bargaining position compared to 2016.
26% : " Waltz has argued that Trump should aim to end the war in Ukraine, which Fontaine said he hoped did not mean walking away.
17% : On the campaign trail, Trump threatened to impose tariffs of 60 percent or more on Chinese goods entering the United States.
*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.