NY Gov Kathy Hochul Wins Place On Everyone's Climate Sh*t List With This One Weird Trick!
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-27% Negative
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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
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
49% : The climate and health benefits of reducing city traffic are significant: After London implemented a congestion pricing plan, carbon emissions dropped by 20 percent, and bus ridership shot up 37 percent.47% : Hochul has floated, in theory, the possibility of other tax increases, maybe a tax on businesses in the city, or maybe a payroll tax, either of which would need approval from the Lege, which doesn't seem to be in the mood.
42% : She worried that instead of taking public transportation to work to avoid the $15 fee for drivers, too many workers would choose to work from home, meaning offices would stay empty and there would then be "fewer people patronizing restaurants, delis and dry cleaners.
42% : McKibben notes that if electoral fears were Hochul's motive, that would be "political malpractice: you don't wait until the last possible moment to jerk around the advocates who have spent years working with you to craft an agreement.
*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.