Expertclick Article RatingHouse passes Postal Service Reform Act
- Bias Rating
-20% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
30% 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
| Sentence | Sentiment | Bias |
|---|---|---|
| "Oversight and Reform (COR) Chairwoman Carolyn Maloney (D-NY), Ranking Member James Comer (R-KY), COR Subcommittee Chair Gerry Coolly (D-VA) and Education and Workforce Ranking Member and COR member Virginia Foxx (R-NC), reflects a broad bipartisan consensus that was 15 years in the making and has the support of the four postal unions, the mailing industry and Postal Service management." | Positive | 0% Conservative |
| "Oversight and Reform (COR) Chairwoman Carolyn Maloney (D-NY), Ranking Member James Comer (R-KY), COR Subcommittee Chair Gerry Coolly (D-VA) and Education and Workforce Ranking Member and COR member Virginia Foxx (R-NC), reflects a broad bipartisan consensus that was 15 years in the making and has the support of the four postal unions, the mailing industry and Postal Service management." | Positive | 0% Conservative |
| "Oversight and Reform (COR) Chairwoman Carolyn Maloney (D-NY), Ranking Member James Comer (R-KY), COR Subcommittee Chair Gerry Coolly (D-VA) and Education and Workforce Ranking Member and COR member Virginia Foxx (R-NC), reflects a broad bipartisan consensus that was 15 years in the making and has the support of the four postal unions, the mailing industry and Postal Service management." | Positive | 0% Conservative |
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Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
% :*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.