Council Post: 3 Stress-Free Ways Business Leaders Can Beat Tax Anxiety

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Published Sep 17, 2022
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
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Bias Rating
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The Bias Rating is computed based on a number of factors including bias loaded words, sentiments towards certain political policies, author bias towards politicians, and the amount of tone found in the article.

18% Somewhat Conservative

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*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.

Policy Leaning
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The policy leaning score is derived from author biases for or against a certain political policy, as found in articles.

18% Somewhat Conservative

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
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-100%
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100%
Conservative

*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.

Politician Portrayal
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The politician leaning score is determined by the author's tone and leaning towards the specific politician mentioned in the article.

N/A

Overall Sentiment

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Opposite Viewpoint
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Reliability Score Analysis

The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.

  • Opposite Sources as Poor for the lower number of sources with different viewpoints.
  • Unique Sources as Poor for the lower number of different sources.
  • Multiple Sources as Poor for the lower number of total sources.
  • Multiple Quotes as Poor for the lower number of quotes used in the article.
  • Quote Length as Poor for the lower number of words used in each quote.

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.


Policy Leaning Analysis

This article includes the following sentiments, providing an average bias score of 18% Conservative:

  • 3 negative sentiments for Taxes


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of N/A:

16 negative sentiments and 7 positive sentiments for Donald Trump
1 positive sentiment for Robert Burns
1 negative sentiment and 1 positive sentiment for Chris Sununu
1 negative sentiment for Matt Mowers
3 negative sentiments for Joe Biden
1 negative sentiment for Maggie Hassan
1 negative sentiment for Bryant Messner


Policies:

Taxes

Politicians:

Donald Trump
Robert Burns
Chris Sununu
Matt Mowers
Joe Biden
Maggie Hassan
Bryant Messner

Sentiments

  •   Conservative
22% "Unlike other losing presidential candidates, Trump has maintained a strong presence within his party."
16% "Interestingly, the Democrats are happy if Trump continues to headline for Republicans."
10% Mark C. Smith, a professor of political science and Director of the Center for Political Studies at Cedarville University in Ohio, acknowledges Trump's continuing ..."
10% Leavitt is a former assistant press secretary in the Trump administration, Burns is an entrepreneur and former treasurer of a New Hampshire county, while ..."
10% Leavitt is a former assistant press secretary in the Trump administration, Burns is an entrepreneur and former treasurer of a New Hampshire county, while ..."
10% Leavitt is a former assistant press secretary in the Trump administration, Burns is an entrepreneur and former treasurer of a New Hampshire county, while ..."
4% In light of his recent legal troubles, Democrats are fine with Trump's expanded role, Smith said."
-2% "You will likely be responsible for income tax, self-employment tax, estimated tax, and Social Security and Medicare taxes.""
-2% "The information provided here is not investment, tax or financial advice.""
-14% "I have found that setting aside 30% of your income for taxes can help give leaders peace of mind for end-of-year taxes, even if ..."

We have listed the top 10 sentiments. More sentiments do exist. Please review the full article for more information.


*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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% : You will likely be responsible for income tax, self-employment tax, estimated tax, and Social Security and Medicare taxes.
49% : The information provided here is not investment, tax or financial advice.
43% : I have found that setting aside 30% of your income for taxes can help give leaders peace of mind for end-of-year taxes, even if you don't know the exact amount and can write off some of your costs.

*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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