Ukraine Situation Report: Drones Target Fuel Facilities In Western Russia
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
4% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
-34% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
55% : According to the Associated Press, the Russian Ministry of Defense said its forces used sea-launched and air-launched long-range missiles in the attacks, including Kinzhal air-launched ballistic missiles fired from MiG-31 interceptors.55% : The same night, the Russian Ministry of Defense claimed that its forces destroyed five Ukrainian drones and four missiles over the Black Sea and Crimea.
49% : The Russian Ministry of Defense meanwhile said that it targeted "facilities of Ukraine's military-industrial complex."
47% : Prosecutors want to jail him for 20 years, claiming that he undertook the action on behalf of the Ukrainian Ministry of Defense's Main Directorate of Intelligence (GUR).
45% : According to reports, the Ukrainian Ministry of Defense's Main Directorate of Intelligence (GUR) "allegedly obtained blueprints, patents, and software on both existing and developing projects.
*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.