UK strikes at heart of Putin's war machine
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
N/A
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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
-20% Negative
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
45% : A full list of those sanctioned today is as follows: 56 designations made under the Russia (Sanctions) (EU Exit) Regulations 2019, the Central African Republic (Sanctions) (EU Exit) Regulations 2019, the Libya (Sanctions) (EU Exit) Regulations 2020, the Mali (Sanctions) (EU Exit) Regulations 2020 and the Chemical Weapons (Sanctions) (EU Exit) Regulations 2019.28 suppliers of machine tools, microelectronics, components for drones, ball bearings or other goods to the Russian military-industrial complex:4 individuals who have benefited since the invasion in key sectors for the Russian state:5 individuals who have supported the supply of goods to the Russian military industrial complex:1 entity connected to Russia's financial system:7 individuals connected to private mercenary groups with links to the Kremlin:3 individuals connected to private mercenary groups with links to the Kremlin made under the Central African Republic (Sanctions) (EU Exit) Regulations 2019:1 individual connected to private mercenary groups with links to the Kremlin made under the Libya (Sanctions) (EU Exit) Regulations 2020:2 private mercenary groups with links to the Kremlin:3 Private companies with links to the Wagner Group:*MARKO MINING *THE OFFICER'S UNION FOR INTERNATIONAL SECURITY *RADIO CENTRAFRICAINE LENGO SENGO1 private mercenary group with links to the Kremlin made under the Libya (Sanctions) (EU Exit) Regulations 20201 individual under the Chemical Weapons (Sanctions) (EU Exit) Regulations 2019*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.