McCarthy loses first vote for House speaker, forcing a second voting round
- Bias Rating
-54% Very Liberal
- Reliability
80% ReliableGood
- Policy Leaning
8% Center
- Politician Portrayal
98% Negative
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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 |
---|---|---|
"He pledged the House would vote on measures to cancel the boost in funding to hire more IRS agents, and bills dealing with border security and abortion." | Negative | -36% Liberal |
"Democrat Rep. Hakim Jeffries of New York, nominated for speaker by Rep. Pete Aguilar of California, had more votes in the first round, with 211 in favor, while McCarthy trailed with 202." | Positive | 0% Conservative |
"Democrat Rep. Hakim Jeffries of New York, nominated for speaker by Rep. Pete Aguilar of California, had more votes in the first round, with 211 in favor, while McCarthy trailed with 202." | Positive | 0% Conservative |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
32% : He pledged the House would vote on measures to cancel the boost in funding to hire more IRS agents, and bills dealing with border security and abortion.*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.