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caneurope.org Article Rating

European Commission sidelines Member States by splitting controversial EU-Mercosur deal - CAN Europe

  • Bias Rating
  • Reliability

    45% ReliableAverage

  • Policy Leaning

    54% Medium Right

  • Politician Portrayal

    -53% 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

4% Positive

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

52% : Instead, the EU should focus more on strengthening its economic autonomy and internal market, not on free trade agreements undermining this."
48% : Laura Restrepo Alameda, Advocacy Coordinator at Climate Action Network Latin America, said: "The EU should build trade partnerships rooted in mutual respect, environmental integrity, and a shared commitment to sustainable development.
43% : The deal would force the EU to contribute to rising global emissions due to the increased trade in emission-intensive goods, while on the Mercosur side, Brazil recently passed a devastating bill drastically weakening environmental safeguards -- a significant setback for the country's environmental legislation in the past 40 years.
37% : It's an anti-democratic trick designed to silence the large-scale protests by farmers, the public backlash to the deal, and the clear opposition of several EU countries.
35% : " CAN Europe, together with hundreds of civil society organisations as well as EU and national parliamentarians, have condemned the splitting manoeuvre as an assault on democracy.
35% : These were included in order to address the demands of several critical countries, including France, Poland and Italy, over the risk of unfair competition towards EU farmers, in relation to cheaper imports of agricultural products.

*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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