- Bias Rating
-24% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
24% Somewhat Conservative
- Politician Portrayal
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"Member of European Parliament Tineke Strik spoke at the protest in Brussels, urging the European Union to stop turning a cold shoulder to Bosnia's citizens." | Negative | -24% Liberal |
"Ryabkov and his team met with Wendy Sherman, the U.S. deputy secretary of state, as part of Strategic Security Dialogue talks aimed at arms control and other broad issues launched by Presidents Joe Biden and President Vladimir Putin during a June summit in Geneva." | Negative | -6% Liberal |
"Biden, the EU, and the Group of Seven nations have warned Putin previously that Russia would face massive consequences and economic sanctions in the event of further aggression against Ukraine." | Negative | -30% Liberal |
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:
38% : Member of European Parliament Tineke Strik spoke at the protest in Brussels, urging the European Union "to stop turning a cold shoulder to Bosnia's citizens".*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.