
The systemic financial risk at the heart of Trump Mk II
- Bias Rating
- Reliability
65% ReliableAverage
- Policy Leaning
-6% Center
- Politician Portrayal
14% Positive
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
52% 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:
57% : And any move to end state support for mortgages, by fully privatising Fannie Mae and Freddie Mac, could also be a relative win for bigger banks.55% : Elon Musk, the joint head of the so-called Department of Government Efficiency, is its incarnation-in-chief.
50% : That may be the moment Trump feels the need for some more mainstream Wall Street advice.
45% : The incoming president has not only embraced the system made famous by Andrew Jackson, the seventh US president, but has done so in a way that will create huge financial as well as political conflicts of interest.
43% : In the investment arena, Trump has picked Stephen Feinberg, co-founder and co-chief executive of Cerberus Capital Management, as his deputy secretary of defence -- opening up another potential conflict, given Cerberus's history of investing in defence businesses.
*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.