
Taliban still struggling for international recognition
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
44% Medium Right
- Politician Portrayal
-56% Negative
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
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:
57% : It has been meeting with officials from the United Nations, who assured the Taliban last month that the body will continue its assistance programmes in the country.54% : Those efforts were ramped up over the last two years, when they embarked on official trips to Uzbekistan, Iran, Russia, Turkmenistan, China and Pakistan.
42% : Mosazai says Iran, Russia and China first started to establish relations with the Taliban by the end of Obama's first term in office.
38% : Moscow and Ankara, who, like Tehran, had hosted the Taliban for several peace talks, also said they would not acknowledge a Taliban-led government until they lived up to their promise to form an "inclusive" administration.
32% : Iran, which had long been accused of aiding and abetting the group, took a cryptic tone when speaking of the Taliban takeover of its eastern neighbour.
*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.