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Thom Tillis
Politician Bias Rating

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Republican, North Carolina | Current US Senator

Thom Tillis is serving as the U.S. Senator for North Carolina and previously served as Speaker of the North Carolina House of Representatives. He graduated from the University of Maryland University College and worked for firms and banks. Thom Tillis is 64 years old. Based on voting history, policy positions, and public statements, Thom Tillis demonstrates a Center political bias. Compare Thom Tillis 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 Conservative

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

8% Center

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
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Very
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-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 Thom Tillis shows how positively or negatively the media portrays Thom. Negative and positive sentiment scores are on a scale of -100% to 100% with higher negative scores showing that more media companies see Thom in a negative light and higher positive scores showing that more media companies see Thom in a positive light.

41% 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.