China Wants to Damage Our Economy, and It's Succeeding
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-35% 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.
Log In
Log in to your account to see the in-depth bias analytics and more.
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
6% 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:
60% : It spent almost $50 billion on subsidies to catch up on semiconductors before the U.S. Congress responded with the CHIPs Act.57% : That would make American exports less expensive and imports pricier without the risk of trade retaliation.
57% : And it is not holding on naïvely to the hopes that free trade could yet prevail if the United States simply ended the trade war.
50% : In 2023, China's leading producer, BOE, received more in government subsidies ($532 million) than the company generated in profits.
47% : Credit goes to Donald Trump for alerting the world to the dangers posed by China, particularly its efforts to overtake the United States as the world's most advanced economy.
39% : If our policymakers don't work fast and smart enough, they will put at risk America's workers, economy and place in the world.
*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.
NY Times