WFINEnergy groups pan Biden-Harris $7.3B 'clean energy' spending ahead of battleground visit - WFIN Local News
- Bias Rating
16% Somewhat Conservative
- Reliability
60% ReliableFair
- Policy Leaning
-2% 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:
53% : "The Biden-Harris administration has long been implementing environmental policies that prioritize natural resources over fossil fuels and other traditional sources of energy.48% : "Rather than forcing on rural Americans' energy sources they don't want, the administration ought to be removing the obstacles to energy sources that they do want," Ben Lieberman, environmental policy researcher at the Competitive Enterprise Institute, told Fox News Digital.
47% : And so I think, rather than throwing tax dollars around, the administration should do a lot more just by removing the impediments to energy sources that don't need federal money but just need less regulatory and permitting burdens.
*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.