Zelenskyy reports damage to oil port infrastructure near St. Petersburg, hit on Kronstadt
- Bias Rating
-24% Somewhat Left
- Reliability
35% ReliableAverage
- Policy Leaning
-24% Somewhat Left
- 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.
Log In
Log in to your account to see the in-depth bias analytics and more.
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
-22% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
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:
51% : According to the Telegram channel of the Ukrainian Armed Forces' Unmanned Systems Forces, on the night of July 4, operators of the 1st Separate Center, in cooperation with the Special Operations Forces, the Security Service of Ukraine, the Main Intelligence Agency of the Ministry of Defense, and other units of the Defense Forces, launched a strike on the Saint Petersburg oil terminal - "one of the largest transshipment complexes for petroleum products in the Baltic region and a key logistics hub for the export of Russian fuel resources.37% : "Systematic #DeepStrike strikes against the enemy's military and resource infrastructure will continue as long as Russia continues its armed aggression against Ukraine," the Ukrainian Armed Forces' Unmanned Systems Forces emphasized.
*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.
