US EPADeadline for public input extended for EPA's proposed cleanup plan for the Collins & Aikman Plant (former) Superfund Site | US EPA
- Bias Rating
14% Somewhat Conservative
- Reliability
10% ReliablePoor
- Policy Leaning
14% Somewhat Conservative
- Politician Portrayal
N/A
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
20% 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:
55% : EPA will hold a public meeting to update the community on the proposed remediation plan and a public hearing to accept verbal comments.53% : EPA will now accept written public comments from July 1, 2024 - August 30, 2024.
50% : In December 2013, EPA added the Site to the National Priorities List (NPL).
46% : The U.S. Environmental Protection Agency (EPA) has proposed a plan to clean up the Collins & Aikman Plant (former) Superfund Site in Farmington, NH.
45% : Between 2014 and 2024, EPA conducted a remedial investigation of the nature and extent of contamination at the Site, and a feasibility study of remedial options to address the contamination.
43% : EPA has also extended the comment period from 30 to 60 days.
*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.