House Democrats find 'stunning web' of foreign payments to Trump during his presidency
- Bias Rating
-48% Medium Liberal
- Reliability
40% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-41% 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
11% Positive
- 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:
49% : The payments, the report says, totalled $7.8 million over just two of his four years in office, and came at the same time the foreign governments -- including China, Saudi Arabia, Qatar and others -- were "promoting specific foreign policy goals with the Trump Administration and even, at times, with President Trump himself, and as they were requesting specific actions from the United States to advance their own national policy objectives".48% : "The governments making these payments sought specific foreign policy outcomes from President Trump and his Administration.
44% : The probe resulted in a lawsuit that eventually made its' way to the Supreme Court, which ruled in Trump v Mazars that the then-president's private business records could be subpoenaed by the House panel.
*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.