United States Department of State Article RatingSecretary Antony J. Blinken and Kazakhstan Foreign Minister Mukhtar Tileuberdi At a Joint Press Availability - United States Department of State
- Bias Rating
-30% Somewhat Liberal
- Reliability
15% ReliablePoor
- Policy Leaning
-26% Somewhat Liberal
- Politician Portrayal
22% Positive
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
- 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:
56% : We're working to do our part to try deliver solutions to the shared challenges that are affecting our people, from developing clean energy to contributing - excuse me - to combatting diseases like COVID, HIV/AIDS, tuberculosis.47% : We look forward to seeing the additional concrete steps Kazakhstan will take to realize that agenda, expanding public participation in the political process, increasing government accountability, curbing corruption, introducing presidential term limits, protecting human rights.
39% : So that's why definitely it's sometimes very difficult to manage how we can provide this free trade by products and services between our borders.
*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.