The Press-Enterprise Article RatingPadilla, Feinstein advocate for federal protections for elections workers
- Bias Rating
4% Center
- Reliability
95% ReliableExcellent
- Policy Leaning
8% Center
- Politician Portrayal
68% 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 |
|---|---|---|
| "This legislation would ensure that state officials and law enforcement have the tools and resources they need to protect those on the frontlines defending our democracy." | Positive | 8% Conservative |
| "California Sens. Alex Padilla and Diae Feinstein are co-sponsors of the bill that would establish grants for states and local governments for the recruitment, retention, training and safety measures for poll workers; cover election workers under federal prohibitions on doxxing; and safeguard election officials' ability to remove poll observers who attempt to interfere with an election." | Positive | 16% Conservative |
| "California Sens. Alex Padilla and Diae Feinstein are co-sponsors of the bill that would establish grants for states and local governments for the recruitment, retention, training and safety measures for poll workers; cover election workers under federal prohibitions on doxxing; and safeguard election officials' ability to remove poll observers who attempt to interfere with an election." | Positive | 16% Conservative |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
54% : This legislation would ensure that state officials and law enforcement have the tools and resources they need to protect those on the frontlines defending our democracy."*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.