China Global Television Network (CGTN) Article RatingMultiple Trump Cabinet nominees targeted by threats
- Bias Rating
-14% Somewhat Liberal
- Reliability
30% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-64% 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
-29% Negative
- 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:
37% : Law enforcement and other authorities acted quickly to ensure the safety of those who were targeted, according to the statement posted on X.Susie Wiles, Trump's incoming White House chief of staff, Pam Bondi, the former Florida attorney general whom Trump has chosen to be the next U.S. attorney general, Congresswoman Elise Stefanik, Trump's pick to be the U.S. ambassador to the United Nations, Howard Lutnick, Trump's pick to be secretary of commerce, as well as Brooke Rollins, Trump's pick to be secretary of agriculture, were targeted in the attacks, CBS News reported.18% : The threats come months after Trump was wounded in an assassination attempt in Pennsylvania in July.
*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.