
Two years of war in Ukraine: Russia's invasion in numbers
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
10% Negative
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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
-33% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
49% : 300,000: The number of Russian reservists called up to fight Entering a new phase of public acceptance about the scale of his war, Putin announced a partial military mobilisation in September 2022, calling up 300,000 reservists - a move which prompted a mass exodus of young Russian men.45% : However a significant number also occurred far from the frontline, with the UN warning that Russia's use of long-range missiles "left virtually no place in the country entirely safe from the hostilities". 505,000: The top end of Ukrainian and Russian troop casualty estimates With Ukraine treating its troop casualty figures as a state secret and Russia's official figures citing a death toll several multitudes lower than any credible estimates, gauging the true scale of death among soldiers in the two-year war is close to impossible.
43% : Nevertheless, the UN has confirmed the deaths of 343 civilians as a result of mines and explosive remnants, with a further 769 injured, with the deadliest regions reported to be Kharkiv and Kherson. 26: The number of Russian warships Ukraine has put out of action While its land counteroffensive failed to produce the lightning gains previously seen in Kharkiv a year earlier, Ukraine has increasingly used drones to strike deep within Russia and - in a major success - to destabilise Putin's prized Black Sea fleet.
*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.