Washington Post Article RatingOpinion | What we have learned about the Supreme Court's right-wingers
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
52% 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
9% Positive
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
13% : In Trump v. Anderson (concerning disqualification under Section 3 of the 14th Amendment of four-time indicted and former president Donald Trump), for example, Barrett along with Justices Elena Kagan, Ketanji Brown Jackson and Sonia Sotomayor criticized the maximalist majority opinion, which held that not only could state courts not determine disqualification but that Congress had to act before any candidate could be disqualified from federal office.*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.