Onondaga County's first wind farm stirs controversy: Who has power over giant turbines?
- Bias Rating
-38% Somewhat Liberal
- Reliability
70% ReliableGood
- Policy Leaning
-50% Medium Liberal
- Politician Portrayal
14% 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
-10% Negative
- Liberal
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% : Palmer hasn't yet submitted a formal application to the state office that now regulates and has final approval over land-based turbine farms - the Office of Renewable Energy Siting and Electric Transmission.59% : Ultimately, the final approval comes from Zeryai Hagos, according to the state Department of Public Service.
56% : Since taking over approvals last year, ORES has approved two wind applications and denied none statewide, according to James Denn, a spokesperson for the Department of Public Service, of which ORES is a part.
54% : While ORES has the power to green light wind farms, it also requires developers to submit to several environmental and technical reviews that must also pass muster with state and federal agencies.
*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.