Council Post: Navigating The State Tax Landscape: Three Areas Growing Tech Companies Should Focus On
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
32% Somewhat Right
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias 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
- 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 information provided here is not investment, tax or financial advice.47% : While sales tax laws have historically been targeted toward taxing tangible goods, more states are trying to define taxes that can capture revenue from the sale of intangible goods.
46% : The silver lining of all that spending is that income tax charges are usually not a part of the assessment -- but this doesn't mean there aren't plenty of tax traps for the unwary technology company on the way to an IPO.
46% : Telecommuting employees can lead to nexus for sales tax, income tax, franchise tax, property taxes and withholding taxes in a state regardless of whether or not you hire with the help of a PEO or not.
46% : Without a bona fide office in that new state, New York could try to claim that an out-of-state employee owes payroll and withholding tax to New York.
*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.