The Week Article Rating

What would a second term for Ursula Von der Leyen mean for Europe?

Feb 22, 2024 View Original Article
  • Bias Rating

    -44% Medium Liberal

  • Reliability

    85% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    51% Positive

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

7% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

54% : Von der Leyen acknowledged this new political reality - and the potential election of Donald Trump in November - when she stressed the need to "defend against divisions from within and from outside".
49% : In the four years since taking over as president of the European Commission, Von der Leyen has faced an unprecedented series of crises, including the Covid pandemic, Russia's invasion of Ukraine, the overlapping energy, cost of living and migrant crises, the green transition, the rise of China abroad and far-right populism at home, the emergence of AI, and the possible return of Donald Trump.
45% : He blamed three main factors: a massive increase in borrowing; the launch of the "Green New Deal", which has led to a wave of protests from farmers in recent months; and extra powers for the EU that have "mainly been used to destroy innovation, and micro-manage the bloc's way to economic irrelevance".
40% : Growth in the EU has stuttered along for much of the past decade - in sharp contrast to the US and China - and Von der Leyen's "catastrophic mis-management of the Commission is one of the major reasons for that", said Lynn.

*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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