Pantagraph Article RatingWhat to know about Lori Chavez-DeRemer, Trump's pick for labor secretary
- Bias Rating
2% Center
- Reliability
55% ReliableFair
- Policy Leaning
36% Somewhat Conservative
- Politician Portrayal
6% Positive
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
37% 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:
56% : Chavez-DeRemer will have to be confirmed by the Senate, which will be under Republican control when Trump takes office on Jan. 20, 2025, and can formally send nominations to Capitol Hill.52% : And though Trump distanced himself from the Heritage Foundation's Project 2025 during the campaign, he has since his victory warmed to some of the people involved in that conservative blueprint that, broadly speaking, would tilt power in the workplace even more toward employers and corporations.
29% : Many of them still do not trust Trump.
21% : Trump took implicit aim at the department's historically uncontroversial role of maintaining labor statistics, arguing that Biden's administration manipulated calculations of unemployment and the workforce.
*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.