
It's not just minority neighborhoods -- NYC's entire property-tax...
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
8% Center
- Politician Portrayal
10% Negative
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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
3% Positive
- 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%
Liberal
100%
Conservative

Contributing sentiments towards policy:
59% : It's time to lower taxes for the over-assessed and hold them steady or even lower them for those whose tax bills have risen less.56% : There's already a good playbook for how to proceed: In the waning days of the de Blasio administration, a City University of New York-led Advisory Commission on Property Tax Reform issued a report that urgently needs to be revisited -- both for its diagnosis of the system's distortions and the fixes it recommended.
50% : Special tax breaks may lead to new building -- but come with political strings attached regarding tenants' income levels and discourage all but a handful of sophisticated and connected players.
*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.