Across the State of New York, Left Elected Officials Are Winning
- Bias Rating
-80% Extremely Liberal
- Reliability
N/AN/A
- Policy Leaning
-48% Medium Liberal
- Politician Portrayal
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Center
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-100%
Liberal
100%
Conservative
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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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
"Those legislators have since pushed for progressive priorities including increased funding for public education, marijuana legalization, and a public health-first approach to drug use." | Positive | 28% Conservative |
"Rather than downplaying crime, slate candidates attempted to convince voters that progressive measures such as increasing funding for social services work better than a policing-first model of public safety." | Positive | 16% Conservative |
"The slate's platform focused most heavily on policing, transferring funds from policing to social services, and reducing the presence of police officers in crisis response." | Positive | 6% Conservative |
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Bias Meter
Extremely
Liberal
Very
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Moderately
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Center
Somewhat Conservative
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-100%
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100%
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Contributing sentiments towards policy:
64% : Those legislators have since pushed for progressive priorities including increased funding for public education, marijuana legalization, and a public health-first approach to drug use.58% : Rather than downplaying crime, slate candidates attempted to convince voters that progressive measures such as increasing funding for social services work better than a policing-first model of public safety.
53% : The slate's platform focused most heavily on policing, transferring funds from policing to social services, and reducing the presence of police officers in crisis response.
51% : It also grew out of the candidates' involvement with Black Lives Matter organizing over the past year, as protest organizers joined the campaign as volunteers.
*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.