NYC real estate is seeing a 'pre-election bump.' But which candidate is better for the industry?
- Bias Rating
-2% Center
- Reliability
65% ReliableFair
- Policy Leaning
-4% Center
- Politician Portrayal
-28% Negative
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
7% Positive
- 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:
64% : "The fact that Trump used to be a developer in New York, and he definitely understands very well the real estate market and the challenges of being a developer," Naftali added, "because a lot of people are thinking, 'Oh, developers are just making money and everything is great, and it's easy money to make.'24% : "As of last week, betting markets skewed heavily in former President Donald Trump's favor, predicting Trump has an approximate 58% chance of winning against Vice President Kamala Harris.REAL ESTATE EXPERT RYAN SERHANT WARNS OF SELF-DESTRUCTIVE MISTAKE HOMEBUYERS MAKE TO SAVE A DOLLARAnd while more than $2 billion has poured into election betting, the real estate developers were more bearish about whether their industry is expecting a Trump win as well.
*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.