Jackson says she'd recuse from Asian-American discrimination case against Harvard - 1010 WCSI
- Bias Rating
-10% Center
- Reliability
N/AN/A
- Policy Leaning
14% Somewhat Conservative
- Politician Portrayal
88% Negative
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-100%
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100%
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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
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"The lawsuit touches on the hot-button issue of affirmative action." | Negative | -14% Liberal |
"Blackburn asked Jackson to define the word woman." | Negative | -4% Liberal |
"Cruz referenced the case as part of comments referencing an exchange between Jackson and Sen. Marsha Blackburn, R-Te., from Tuesday." | Negative | -10% Liberal |
"Cruz referenced the case as part of comments referencing an exchange between Jackson and Sen. Marsha Blackburn, R-Te., from Tuesday." | Negative | -10% Liberal |
"KETANJI BROWN JACKSON CONFIRMATION: SENATORS SPAR ON 'SOFT ON CRIME;' JACKSON DEFENDS CHILD PORN SENTENCESThat is my plan, senator, Jackson said when Cruz asked the judge if she would recuse from the case because of her association with Harvard." | Negative | -22% Liberal |
"Cruz asked Jackson.Jackson declined to answer the hypothetical." | Negative | -22% Liberal |
"Jackson, a member of the Harvard University Board of Overseers, made the commitment while being questioned by Sen. Ted Cruz, R-Texas, in her confirmation hearing." | Negative | -30% Liberal |
"Cruz pushed Jackson further on the issue, asking if other protected characteristics could be changed." | Negative | -34% Liberal |
Bias Meter
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Contributing sentiments towards policy:
43% : The lawsuit touches on the hot-button issue of affirmative action.*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.