$2.2 Million Homes in California
- Bias Rating
-2% Center
- Reliability
30% ReliableFair
- Policy Leaning
-6% Center
- Politician Portrayal
8% 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:
56% : Taxes: $27,495 (estimated) and a $510 monthly homeowner association feeContact: John Woodruff, Aethos Real Estate, 415-999-9827; aethosrealestate.comFor weekly email updates on residential real estate news, sign up here.52% : Taxes: $27,492 (estimated)Contact: Char Major and Candace Carroll, Sotheby's International Realty, Los Feliz Brokerage, 310-266-9060; sothebysrealty.comSacramento | $2.15 MillionA 1909 Craftsman-style house with six bedrooms and three and a half bathrooms, on a 0.3-acre lotThis house, listed on the National Register of Historic Places, was designed by George C. Sellon, the first state architect of California.
48% : Taxes: $26,880 (estimated)Contact: Jamie Rich, House Real Estate, 916-612-4000; redfin.comMountain View | $2.199 MillionA recently renovated 1979 townhouse with three bedrooms and two and a half bathrooms
*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.