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luxtimes.lu Article Rating

Europe's steel tariffs: a necessary adjustment in a distorted global market

  • Bias Rating
  • Reliability

    5% ReliableLimited

  • Policy Leaning

    -20% Somewhat Left

  • Politician Portrayal

    N/A

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

29% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

61% : Ensuring Europe's resilience will depend on balancing three objectives: openness to trade, competitiveness of downstream industries, and the long-term sustainability of domestic production.
60% : The challenge for Europe is therefore to find the right balance between openness and protection, ensuring that competitiveness is preserved across the entire industrial value chain.
54% : Current utilisation rates in the EU hover around 65%, well below the 80-85% generally needed for long-term viability.
54% : In parallel, the EU could explore policies that promote local value creation.
54% : The introduction of import tariffs should be seen not as an end in itself but as one component of a broader policy framework.
53% : This rapid expansion has created chronic overcapacity, estimated at several hundred million tons, which weighs on prices worldwide. Chinese producers, often benefiting from state support and very large economies of scale, are able to export steel at prices that often do not fully reflect production and environmental costs.
49% : Yves Germeaux, Head of Trade and International Relations at Fedil The European Commission's proposal to introduce tariffs on steel imports represents a necessary adjustment in the EU's trade and industrial policy.
45% : Such measures would align with global practices and contribute to building industrial sovereignty without undermining trade commitments.

*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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