Massachusetts did well with a Democrat in the White House. The party may be over under Trump. - The Boston Globe
- Bias Rating
-26% Somewhat Liberal
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-30% 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
7% 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% : Currently, billions of dollars flow to Massachusetts from Washington every year for programs ranging from Medicaid to food stamps.51% : Few expect government run by Trump to award federal money for climate change adaptations at the scale that Biden has, for example.
51% : Perhaps the only guarantee: Expect changes when Trump takes office.
36% : While it's too early to predict with certainty, some in Massachusetts fear the state won't see funding on that scale again -- particularly with Elon Musk, whom Trump has appointed to lead a new advisory panel, aiming to slash $2 trillion in federal spending.
32% : A spokesperson said the city is reviewing the status of each federal grant and "can't predict exactly how federal funding may change" under Trump.
*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.