
Double standards much? Tariff imposing US now calls for India's backing in taking on China
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
-33% 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
11% Positive
- 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:
62% : China has accused the US of double standards in levying duties on international trade.50% : Trump has also threatened to cancel a planned meeting with President Xi at the Asia-Pacific Economic Cooperation (APEC) summit scheduled for later this month.
50% : Although Trump has stated he wants to "help China, not hurt it," Beijing has continued an aggressive stance, declaring on Tuesday that it is prepared to "fight to the end" in the tariff dispute.
50% : The US, including Trump and Bessent, has sent mixed signals to India.
50% : While Trump frequently mentions "tariffs" as a priority, he continues to refer to PM Modi as a "good friend" and "great leader."
43% : Bessent has previously been critical of both India and China for purchasing Russian oil despite the ongoing war in Ukraine.
*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.