California lawmakers advance bill allowing election workers to hide
- Bias Rating
14% Somewhat Conservative
- Reliability
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- Policy Leaning
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- Politician Portrayal
14% 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
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"State Sen. Josh Newman (D), the sponsor of the bill, said the measure and another bill increasing oversight of digital political advertisements will provide assurance to Californians that they can continue to count on the highest standards of political accountability and electoral integrity.The transparency of our electoral process and the security of election workers are paramount to maintaining our democracy, Newman said in a statement after the passage of both bills." | Negative | -4% Liberal |
"State Sen. Josh Newman (D), the sponsor of the bill, said the measure and another bill increasing oversight of digital political advertisements will provide assurance to Californians that they can continue to count on the highest standards of political accountability and electoral integrity.The transparency of our electoral process and the security of election workers are paramount to maintaining our democracy, Newman said in a statement after the passage of both bills." | Negative | -4% Liberal |
"Lawmakers introduced the bill in February in response to increased threats and harassment of election workers in the wake of the 2020 election, which saw supporters of former President TrumpDonald TrumpTrump issues statement claiming hole-in-one on Florida course Pelosi: 'I fear for our democracy' if Republicans win House Jan. 6 panel votes to advance contempt proceedings for Navarro, Scavino MORE accuse poll workers of bias in relation to unfounded claims of fraud." | Negative | -12% Liberal |
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Contributing sentiments towards policy:
% :*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.