- Bias Rating
-70% Very Liberal
- Reliability
N/AN/A
- Policy Leaning
26% Medium Conservative
- Politician Portrayal
10% Negative
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-100%
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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
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"Here's Rep. Jim Jordan, the ranking Republican on the House Judiciary Committee, and fairly rank as a politician generally, presenting that case -- after, of course, blustering about Afghanistan and undocumented immigrants, because his brain is stuck in a loop that way:" | Positive | 6% Conservative |
"That it passed with the conservative Democratic members on board is considered to be Pelosi's main achievement." | Positive | 24% Conservative |
"And, yes, once again, Nancy Pelosi proved herself to be possibly the most effective Speaker of the House since I don't know when." | Positive | 10% Conservative |
"Here's Rep. Jim Jordan, the ranking Republican on the House Judiciary Committee, and fairly rank as a politician generally, presenting that case -- after, of course, blustering about Afghanistan and undocumented immigrants, because his brain is stuck in a loop that way:" | Negative | -20% Liberal |
"Much like the proposal the Senate adopted this month, the House budget is essentially an outline that does not require Biden's signature." | Negative | -2% Liberal |
Bias Meter
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Center
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-100%
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100%
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Contributing sentiments towards policy:
53% : Here's Rep. Jim Jordan, the ranking Republican on the House Judiciary Committee, and fairly rank as a politician generally, presenting that case -- after, of course, blustering about Afghanistan and undocumented immigrants, because his brain is stuck in a loop that way:*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.