New EU sanctions target Russian military-industrial complex

  • Bias Rating

    36% Medium Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    36% Medium Conservative

  • 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

N/A

  •   Conservative
SentenceSentimentBias
"The European Council said this was to avoid and combat food insecurity around the world, and in order to avoid disruptions in the payment chaels for agricultural products.As well as sanctions on various entities, banks and individuals, including Putin and members of his family, the EU has previously approved an embargo on coal and seaborne oil imports, in close concert with Western allies."
Positive
0% Conservative
"The European Union said Friday its latest round of sanctions will hit Russia's military-industrial complex, as well as people and groups that are attacking Ukrainian civilians or kidnapping children."
Negative
-36% Liberal

Bias Meter

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-100%
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100%
Conservative

Bias Meter

Contributing sentiments towards policy:

50% : The European Council said this was "to avoid and combat food insecurity around the world, and in order to avoid disruptions in the payment channels for agricultural products."As well as sanctions on various entities, banks and individuals, including Putin and members of his family, the EU has previously approved an embargo on coal and seaborne oil imports, in close concert with Western allies.
32% : The European Union said Friday its latest round of sanctions will hit Russia's military-industrial complex, as well as people and groups that are attacking Ukrainian civilians or kidnapping children.

*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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