China targeting US voters with anti-democracy narratives in election, analysts warn
- Bias Rating
-12% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
-35% Negative
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 |
---|---|---|
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:
53% : The two U.S. intelligence officials told USA TODAY that various task forces and initiatives have been established across federal law enforcement and intelligence agencies to identify and counter anti-U.S. messaging from China and other adversaries.49% : U.S. intelligence and law enforcement officials also have issued more generalized warnings about influence operations by Beijing and other U.S. adversaries including Russia and Iran in the run-up to the midterm elections.
34% : On Wednesday, Homeland Security Secretary Alejandro Mayorkas vowed to be vigilant against threats to the Nov. 8 elections, including preventing any disinformation campaigns linked to Russia, Iran or China that could undermine the perception of the integrity of the elections.
*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.