Washington Post Article RatingOpinion | What the data says about the electability of women and minorities
- Bias Rating
10% Center
- Reliability
65% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-71% 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
-13% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
58% : But last year's general election suggests that, when it comes to the district-by-district, state-by-state battle for Congress, they need not worry: In the 2024 House races, neither women nor non-White candidates appear to have paid any measurable electoral penalty.48% : Hispanic candidates enjoy an advantage against non-Hispanic candidates in majority-Hispanic districts, to the tune of roughly two points.
2% : Two women, Hillary Clinton and Kamala Harris, have now lost elections to Donald Trump.
*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.
