
You'll Be 'Eaten Up' By The Tiger: China Issues Global Warning Over Appeasing Trump On Trade
- Bias Rating
22% Somewhat Conservative
- Reliability
30% ReliableAverage
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-40% 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
-13% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
62% : China has cautioned nations against forging trade agreements with America that would hurt Beijing's interests, sharpening its tone amid a worsening trade conflict between the globe's two largest economic powers.53% : How much influence does China have in global commerce, and can Trump successfully divide other nations from Beijing?
48% : Trump also aims to use tariffs to fund upcoming tax reductions.
43% : American trade taxes on most Chinese goods have risen to 145 percent.
37% : But for most countries, particularly those in the Global South, the more that Trump threatens, the more that countries will go on China's side,' she added.
35% : Trump has consistently accused China of taking advantage of the US in trade, portraying his tariffs as essential for revitalising domestic manufacturing and bringing jobs back to America.
33% : Recent reporting from The Wall Street Journal indicated that Trump aimed to use discussions about tariffs to pressure America's economic allies into reducing trade with China and limiting Beijing's robust manufacturing sector.
31% : China's warning comes as countries prepare to talk with the US to seek exemptions from the 'reciprocal' tariffs that Trump had placed and then temporarily stopped for about 60 trading partners.
*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.