NYC's Congestion Pricing Off to Quiet Start With Big Test Coming
- Bias Rating
-26% Somewhat Liberal
- Reliability
80% ReliableGood
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
-7% Negative
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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
-29% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
57% : About 1.3 million people take public transportation into the district for work compared with 143,000 who drive, according to the MTA.56% : Nick Watkin, a photographer who lives in the Bronx, said he drives into the city about three or four times a week for work, and taking public transportation would double his commuting time.
55% : Discounts for low-income drivers, tax credits for low-income residents of the central business district, and disability exemptions for individuals who are unable to access public transportation will also be available.
29% : Trump may seek a longer environmental review of the program through a legal suit or find a way to stop the tolling through administrative action, according to Brad Lander, New York City's Comptroller.
*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.
