The Guardian Article Rating

Open borders defy rising nationalism in Europe. We must protect them | Alexander Hurst

  • Bias Rating

    10% Center

  • Reliability

    60% ReliableFair

  • Policy Leaning

    10% Center

  • 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

8% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

55% : Quickly, the absence of any kind of border became simply anodyne to me, and not just between Strasbourg and Kehl.
53% : Erasmus - the scheme that lent its name to a whole generation of students for whom it opened Europe's doors - and the Schengen agreement, which eliminated physical borders between most countries in the EU.
52% : Recognition of that is why the Schengen agreement allows the reintroduction of border controls only in a situation of threat to public policy or internal security, and then requires that they are a measure of last resort, minimal in practice, and temporary in nature.
49% : States should keep that in mind as they continue to nibble away at the way it has put so many borders out of sight and out of mind.
37% : Schengen borders can be temporarily reimposed in the event of a threat to public policy - but what if the reintroduction of the border is itself a threat to European public policy?
35% : Reimposing passport checks in the Schengen area creates new political lines in our minds - and that poses its own dangerWith so many economic and political challenges looming, the EU nevertheless began 2025 with a little bit of its old magic and a reminder that it's here to do far more than simply react.

*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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