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The great mask debate
- Bias Rating
-64% Medium Liberal
- Reliability
75% ReliableGood
- Policy Leaning
-2% Center
- Politician Portrayal
13% Positive
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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
18% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Medium Liberal
-64%
Contributing sentiments towards policy:
77% : "In my time in the classroom, I watched education be the great equalizer," Mannion, the Syracuse-area Democrat, told Playbook.68% : " Mannion spent 26 of his 30-year career in education working in public schools.
56% : Hochul last summer raised the possibility of banning masking on subways after anti-Israel protesters with face coverings dominated social media.
50% : Trump and his allies have argued the move will return more power to state and local governments.
49% : The Court of Appeals found that allowing the city's roughly 800,000 lawful permanent residents to vote for mayor and other other city offices would require an amendment to the state constitution, POLITICO reported Thursday.
39% : "It's not just the Individuals with Disabilities Education Act, there's also different funds, Title I, that go to some of our most impoverished communities," he said. Democrats assailed Trump for his major step toward eliminating the department entirely, noting that it was created by Congress and can only be dismantled by an act of Congress.
34% : Her office pointed out Thursday that she's wanted limits on mask wearing since last year, fueled by concerns over antisemitic attacks and demonstrations -- a stance that predates Trump 2.0. Subway safety has long been a theme for Hochul:
*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.


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