Forbes Article Rating

Fictitious Tax Plan Used To Attack GOP Challenger In Tight Wisconsin Gubernatorial Race

Oct 29, 2022 View Original Article
  • Bias Rating

    76% Very Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    38% Somewhat Conservative

  • Politician Portrayal

    -63% 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

  •   Liberal
  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

51% : "And discount how small businesses pay the income tax."
50% : Rocco & Harshner acknowledge that Michels said he wants to "sit down with all the smart tax people" in order to "figure out how low we can get the income tax."
47% : Flat tax proponents view assessment of the same income tax rate on everyone as a way to ensure equality in taxation in a manner that also happens to make revenue collections less volatile.
46% : The non-partisan Joint Committee on Taxation confirmed that bill will raise the federal tax burden for low- and middle-income households, including those making less than $30,000 and even on those making less than $10,000 annually.
38% : Yet as one Wisconsin radio host, Jay Weber, noted in response, "Michels DOES NOT HAVE A FLAT TAX PLAN.""He only commented on the idea and said he'd REJECT IT if it would raise taxes on the poor," Weber added.
34% : Congressman Mark Pocan (D-Wisc.), for example, sent a tweet attacking Michels over the flat tax he hasn't proposed.
31% : By attacking Michels over a tax plan that isn't his and claiming it proves he'll raise taxes on low- and middle-income households, Representative Pocan could be said to be both spreading misinformation and throwing stones from a glass house.

*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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