Schuylkill Chamber sends appeal to Penn State
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
8% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias 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
14% 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:
59% : "Schuylkill County has a lower than average median household income," it said, "and access to affordable higher education is crucial.55% : POTTSVILLE -- Citing enrollment figures, innovative programs and the need for affordable access to higher education, the Schuylkill County Chamber of Commerce made a direct appeal to the president of Penn State University to keep its Schuylkill Campus open.
53% : The signatories include State Rep. Jamie Barton, R-124, East Brunswick Twp., and representatives of D. G. Yuengling & Sons Brewery, Hydro-Extrusions North America, Lehigh Valley Hospital, Geisinger St. Luke's Hospital and Alvernia University-PottsvilleTowne campus.
31% : Dr. Sarah Yoder, Pottsville's superintendent, recently said that closing Schuylkill campus would be a devastating blow to local students seeking higher education.
*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.