Lighthizer Wins the Long Game - The American Conservative

Aug 22, 2022 View Original Article
  • Bias Rating

    80% Very Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    36% Somewhat Conservative

  • Politician Portrayal

    23% Positive

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

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  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

57% : His policies dismissed the notion of free trade as a dogmatic philosophy that is short-sighted in theory and impossible in practice.
57% : He considers this mechanism to be a reasonable way to both raise revenue and regulate imbalanced trading practices: "Tariffs are good when they accomplish certain things, and they're bad when they don't."
55% : Cue the word for which the former ambassador is most known: tariffs.
54% : The last time tariffs were mentioned at the Republican National Convention with Lighthizer-level enthusiasm was at the 1932 convention that nominated President Hoover.
53% : Now, Lighthizer considers his views on trade to be "mainstream," and the WSJ admits that "Republicans have embraced tariffs."
48% :This attitude on tariffs was not a popular one in the GOP when Lighthizer started his job at the USTR.
48% :Where was the breaking point for the American right on tariffs and a protectionist trade policy?
46% : By the 1980 convention, the Republican position was that "protectionist tariffs and quotas are detrimental to our economic well-being," and by 2004, the Bush II re-election platform boasted of "eliminating tariffs."
38% : Riffing on Oliver Wendell Holmes's quote about taxation, Lighthizer called tariffs "the price you pay for family and communities."

*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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