
Who is Elissa Slotkin? Michigan Democrat set to give response to Trump's address
- Bias Rating
10% Center
- Reliability
30% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-1% 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
5% 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:
48% : During her time in the House, she voted to impeach Trump both times and earlier this year, she was one of 12 Democrats to join Republicans in passing the Laken Riley Act.46% : Per tradition, typical of the State of the Union Address, Slotkin will respond to whatever Trump says during his joint address with the Democrats' opposing opinion.
43% : She worked as a CIA analyst during the Iraq War and also served in the State Department and Department of Defense under the Obama administration.
28% : Though she can be critical of her own party, Slotkin may highlight the work Democrats are doing to lower the cost of living and protect Social Security and Medicaid, House Minority Leader Hakeem Jeffries hinted in a statement.
*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.