Financial Times Article Rating

Lagarde and Von der Leyen: Europe has got the message on change

Jan 31, 2025 View Original Article
  • Bias Rating

    -50% Medium Liberal

  • Reliability

    5% ReliablePoor

  • Policy Leaning

    -50% Medium Liberal

  • 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

21% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

63% : The EU will also give companies access to our world-leading network of supercomputers.
58% : From now on, the EU will strive not only to lower the barriers facing companies, but also to ensure that they have the resources they need to thrive here -- be it finance, compute, energy or skills.
58% : For example, the commission will propose a so-called "28th regime" for innovative companies, allowing them to benefit from a single legal framework across the EU for aspects of corporate law, insolvency, labour law and taxation.
56% : While a global revolution in artificial intelligence unfolds, the EU could find itself on the sidelines.
53% : The EU turns out almost as many Stem graduates per million inhabitants as the US.
48% : While others must cut their dependencies by building up domestic capacity, the EU can choose from a broader set of options owing to its unique position in global trade.
48% : First, we need to make the EU an easier place for innovative companies to grow.
46% : The EU has strengths on which it can build -- and it has a plan to fix its weaknesses.
40% : And in a deal with the EU, what you see is what you get.

*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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