Why Hochul's 10% plan for SUNY makes sense
- Bias Rating
-10% Center
- Reliability
70% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
6% 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
14% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
64% : "Access to higher education," Hochul said, "has the potential to transform the lives of young New Yorkers and change the trajectory of a student's life.64% : The fight to reform American higher education clearly remains a work in progress.
47% : Moreover, Samuel Alito, one of the Court's most conservative justices, praised the Texas plan in a dissent in 2016's Fisher v. The University of Texas at Austin (which was another Supreme Court challenge to Affirmative Action).
43% : Hochul's announcement was met with skepticism from some advocates of colorblindness, who suspect the governor's Top 10 Percent Plan is a backdoor effort to continue the decades of Affirmative Action that penalized whites and Asian Americans in the Empire State.
41% : Ever since the Supreme Court struck down the use of affirmative action in college admissions last term, institutions of higher education have been hard at work devising ways to sidestep the ruling.
*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.