Daily Mail Online Article Rating

Russian Agricultural Bank could have SWIFT access within 30 days,...

Sep 08, 2023 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    40% ReliableFair

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    2% 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

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Bias Meter

Contributing sentiments towards policy:

59% : The fourth measure outlined by Guterres was a U.N. willingness to further explore ways to facilitate access to EU ports for Russian vessels carrying agricultural products.
52% : A Russian Agricultural Bank subsidiary in Luxembourg could immediately apply to SWIFT to "effectively enable access" for the bank to the international payments system within 30 days, the United Nations told Russia in a letter, seen by Reuters on Friday.
50% : Guterres outlined four measures that the United Nations could facilitate to improve Russia's grain and fertilizer exports in a bid to convince Moscow to return to a deal that had allowed the safe Black Sea export of Ukrainian grain.
49% : "Lloyd's CEO John Neal also told Reuters on Thursday that Lloyd's was in talks with the United Nations over providing insurance cover for Ukrainian grain shipments if the Black Sea grain deal can be revived.
48% : Guterres also told Lavrov that the United Nations could continue to help unblock assets related to Russian fertilizer companies in the European Union, but he said Moscow needed to provide a list of specific accounts or assets and an agreed benchmark needed to be set.Russian fertilizer companies would also have to apply to national authorities within the EU for exemptions and the U.N. would engage with the EU on those requests.

*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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