Three out of Five Seats up for Election: Orange County Board of Supervisors
- Bias Rating
58% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
6% 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:
49% : The former assemblywoman also said she pledges to help law enforcement do their jobs while ensuring those who break the law are held accountable.46% : Since serving on the board, Foley has voted to expand COVID-19 vaccine and testing availability, reduced homelessness, and fund law enforcement agencies to combat hate crimes, according to her ballot statement.
45% : Park said she also plans to enact criminal justice reforms.
42% : If elected, Vargas said he will ensure criminals are arrested; assist in developing homelessness treatment centers for mental health and addiction services; oppose increases in fees and taxes and will not let crimes -- like mob robberies -- become commonplace in Orange County.
42% : Bates also plans to focus on clearing homeless encampments, supporting law enforcement, and cutting fees, taxes, and regulations to the cost of homes.
*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.