
Endorsement: Robert Luna for L.A. County sheriff
- Bias Rating
-10% Center
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
46% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
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
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
60% : His leadership role in national police organizations has instilled a healthy respect for innovation and an understanding of the mixed feelings harbored by citizens who have a natural inclination to trust and respect police but often find their faith in law enforcement wavering after seemingly endless reports of excessive force, corruption and racism.49% : Los Angeles County is in need of a law enforcement grown-up to get the Sheriff's Department back on track.
45% : Like many first- and second-generation Latino families, his was split among those who were angry at law enforcement and those, like him, who joined it and tried to improve it.
41% : Sheriff's Lt. Eric Strong has a better grasp than they do of the direction law enforcement must go to more effectively serve the county's people, but he lacks Luna's leadership experience.
*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.