IRS Audits of Trump Taxes Are Called Thinly Staffed and Deferential

  • Bias Rating

    10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    46% Medium Conservative

  • Politician Portrayal

    -17% Negative

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

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

52% : The largest chunk of the funding -- passed over Republican resistance -- is earmarked for enforcement, and administration officials say they will focus on large corporations and high-income taxpayers.
48% : In three of the years, they paid $750 or less in income taxes.
47% : The Trumps reported substantial losses for four of the six years, according to the report, and paid a total of $1.8 million in federal income tax over the six years.
42% : The Trumps reported a loss of $31.8 million for the year and paid $640,000 in income tax.
40% : At times, only a single IRS agent was assigned to examine Mr. Trump's complex tax returns, with insufficient support from specialists, according to the report by the staff of the Joint Committee on Taxation, which provided the information to the House committee that voted to release the former president's tax information.
27% : Based on a review of two decades of Mr. Trump's tax returns, the article said Mr. Trump often paid little in taxes and raised questions about some of his practices.

*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.

Copy link