Payroll Tax Rates (2022 Guide)

Sep 15, 2022 View Original Article
  • Bias Rating

    6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    6% Center

  • Politician Portrayal

    N/A

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

Overall Sentiment

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"Employers and employees pay federal employment taxes that include payments toward Social Security, Medicare and unemployment insurance."
Positive
6% Conservative
"Social Security and Medicare taxes are collectively known (and may appear on paycheck stubs) as FICA taxes, for the Federal Insurance Contributions Act included in the 1930s New Deal legislation that introduced Social Security."
Negative
-2% Liberal

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:

53% : Employers and employees pay federal employment taxes that include payments toward Social Security, Medicare and unemployment insurance.
49% : Social Security and Medicare taxes are collectively known (and may appear on paycheck stubs) as FICA taxes, for the Federal Insurance Contributions Act included in the 1930s New Deal legislation that introduced Social Security.

*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.

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