Financial Times Article Rating

Buy American to avoid Trump trade war, says Christine Lagarde

Nov 28, 2024 View Original Article
  • Bias Rating

    12% Somewhat Conservative

  • Reliability

    40% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -39% Negative

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

Overall Sentiment

-2% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

46% : She called on Europe to cut through Trump's campaign rhetoric and to focus on the details of his proposals so far, arguing it was "interesting" that he had suggested introducing tariffs of between 10 and 20 per cent on non-Chinese imports.
42% : The European Central Bank chief said in her first interview since Trump won his second presidential term that the EU needed "not to retaliate, but to negotiate" with a president-elect who has threatened a blanket tariff of up to 20 per cent on all non-Chinese US imports.Lagarde also cautioned that a "trade war at large" was "in nobody's interest" and would lead to "a global reduction of GDP".
31% : On Monday evening, Trump said he would impose a 10 per cent levy on Beijing from his first day in office, in retaliation for China doing too little to crack down on the manufacturing of substances used to produce fentanyl.Lagarde talked to the FT earlier on Monday, ahead of Trump's remarks.
18% : Her counterpart at the Federal Reserve, Jay Powell, has carefully avoided opining on Trump, despite him tweeting during his first term that the US central bank chair was possibly a "bigger enemy" to the American economy than China.

*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.

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