Chucking California's recycling rules
- Bias Rating
2% Center
- Reliability
85% ReliableGood
- Policy Leaning
-14% Somewhat Liberal
- Politician Portrayal
4% Positive
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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
-7% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
62% : Farmers called their work climate-smart to get federal funds from Biden -- but those words may cost them under Trump. --56% : Travel the San Joaquin-Sacramento River Delta at the center of Trump and Newsom's water wars with photos and words by Ryan Christopher Jones ... and pair it with a letter by Reps. Adam Gray and Jim Costa urging Newsom and Trump to work together on water (tl;dr: "Please don't sue.") -- The United States' energy demand is projected to increase 30 to 40 percent by 2040 because of data centers, electric vehicles and appliances and general economic growth, according to a new report commissioned by most of the major U.S. energy trade groups.
41% : The justices issued an order rejecting a request by 19 Republican state attorneys general to challenge their Democratic counterparts who've sued oil companies for compensation for the costs of rising tides, intensifying storms and other disasters worsened by climate change, Lesley Clark reports for POLITICO's E&E News.
38% : California's lawsuit, filed by Attorney General Rob Bonta, alleges companies like Chevron and the American Petroleum Institute -- the industry's trade group -- lied to the public about climate change caused by fossil fuels, and seeks payment for damages and the establishment of a climate adaptation fund.
*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.