WSJ Article Rating- Bias Rating
-10% Center
- Reliability
5% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
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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 |
|---|---|---|
| "The patient, who was white, felt the reason was affirmative action." | Positive | 26% Conservative |
| "Until then, however, the organization - which has already called for the re-election of President Biden and Vice President Kamala Harris, budgeted over $50 million for political campaigning and lobbying, and is now plaing to shovel over $1 million to boost support among its anemic community ally (parent) program - will continue to flex its muscle over U.S. elections and the education of millions of American children." | Positive | 6% Conservative |
| "Until then, however, the organization - which has already called for the re-election of President Biden and Vice President Kamala Harris, budgeted over $50 million for political campaigning and lobbying, and is now plaing to shovel over $1 million to boost support among its anemic community ally (parent) program - will continue to flex its muscle over U.S. elections and the education of millions of American children." | Positive | 6% Conservative |
| "Ron DeSantis and Sarah Huckabee Sanders signed legislation blocking the unions from automatically siphoning money out of teachers' paychecks to pay membership dues this year." | Negative | -12% Liberal |
| "Ron DeSantis and Sarah Huckabee Sanders signed legislation blocking the unions from automatically siphoning money out of teachers' paychecks to pay membership dues this year." | Negative | -12% Liberal |
Bias Meter
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Contributing sentiments towards policy:
63% : The patient, who was white, felt the reason was affirmative action.*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.