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Elena Kagan
Politician Bias Rating

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n/a, Supreme Court | Associate Justice

Elena Kagan is an Associate Justice of the Supreme Court and is the fourth woman to fill that position. She previously taught at the University of Chicago Law school and served as an Associate White House Counsel. Based on voting history, policy positions, and public statements, Elena Kagan demonstrates a Center political bias. Compare Elena Kagan with other politicians in our Politician Bias Chart.

Analyst Rating
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Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

Medium Left

A.I. Policy Leanings
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Our policy leanings for Elena Kagan show what policies Elena supports and opposes including Elena's conservative and liberal leanings based on the news.

-2% Center

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

*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.

A.I. Media Portrayal
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The A.I. media portrayal of Elena Kagan shows how positively or negatively the media portrays Elena. Negative and positive sentiment scores are on a scale of -100% to 100% with higher negative scores showing that more media companies see Elena in a negative light and higher positive scores showing that more media companies see Elena in a positive light.

43% negative

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Our politician ratings are based on recent news using data science and A.I. technology. We analyze hundreds of articles published by news sources daily to determine politicians and policy leanings.