Editorial: More accountability, less cluelessness needed from LAPD
- Bias Rating
-8% Center
- Reliability
55% ReliableFair
- Policy Leaning
-8% Center
- Politician Portrayal
34% 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
Sentence | Sentiment | Bias |
---|---|---|
"For several decades, law enforcement agencies and officers' unions literally wrote the laws that govern their conduct, granting themselves secrecy and impunity, and instructing compliant lawmakers to adopt their statutes." | Negative | -8% Liberal |
"We call on Mayor Karen Bass, who signed off on Moore's reappointment in January despite inadequate public consideration of his performance, to make her position clear on the refusal to turn over records of the explosion's aftermath and Moore's attitude toward reporters' exercise of their 1st Amendment rights." | Negative | -14% Liberal |
"Damien Levesque and bomb technicians Mell Hogg, Mark Richardson, Brendan McCarty, Thomas Deluccia and Stefanie Alcocer." | Negative | -20% Liberal |
Bias Meter
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Contributing sentiments towards policy:
46% : For several decades, law enforcement agencies and officers' unions literally wrote the laws that govern their conduct, granting themselves secrecy and impunity, and instructing compliant lawmakers to adopt their statutes.*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.