Sandra Day O'Connor, first woman to serve on the Supreme Court, remembered as 'independent thinker' who often disappointed conservatives
- Bias Rating
-18% Somewhat Liberal
- Reliability
55% ReliableFair
- Policy Leaning
-26% Medium Liberal
- Politician Portrayal
12% Positive
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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
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "For example, if America thinks that women should still have the ability to terminate pregnancy, the law should reflect that." | Negative | -4% Liberal |
| "In a way, O'Coor's legacy is that she became for conservatives an example or a warning sign of what happens if you don't nominate a movement conservative, said Urman, director of the law and public policy minor at Northeastern, who teaches courses on the Supreme Court." | Negative | -8% Liberal |
| "But perhaps most frustrating to critics, O'Coor was not driven by a grand, overarching conservative legal theory but rather the idea that the law should reflect -- not necessarily lead -- society." | Negative | -18% Liberal |
Bias Meter
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Contributing sentiments towards policy:
48% : "For example, if America thinks that women should still have the ability to terminate pregnancy, the law should reflect that.46% : "In a way, O'Connor's legacy is that she became for conservatives an example or a warning sign of what happens if you don't nominate a movement conservative," said Urman, director of the law and public policy minor at Northeastern, who teaches courses on the Supreme Court.
41% : But perhaps most frustrating to critics, O'Connor was not driven by a grand, overarching conservative legal theory but rather the idea that the law should reflect -- not necessarily lead -- society.
*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.