The Final Case for Trump

  • Bias Rating

    50% Medium Conservative

  • Reliability

    40% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -35% 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

17% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

63% : I vote on foreign policy issues perhaps more than the average person, and here my support for Trump is clear.
55% : Trump is far from the perfect candidate, his flaws more obvious than most of his predecessors.
47% : It is easy to look up how many total migrants were allowed into the United States under Trump, legal green card recipients, gray-zone humanitarian paroles and Temporary Protected Status people, and estimated straight-up illegals.
43% : I want to vote for Trump so that we can control the border once again.
41% : I vote Trump in hopes of more of that, and less of the kind of lack of planning and missing thought demonstrated in the evacuation of Afghanistan.
36% : I can see, to the dollar, what inflation has cost and know this wasn't the case under Trump.
32% : Trump is a boor at times, crude in his language and demeanor, but he is not a dictator.
32% : Trump, a man who supposedly does not respect the rule of law, used the law to fight off two impeachments and multiple lawfare accusations.
26% : The economy under Trump had ups and downs, largely due to Covid, but I fail to see anything on that scale driving Biden-Harris's inflation.
14% : Russia invaded Crimea under Obama, and invaded Ukraine under Biden-Harris, and did not invade anywhere under Trump.

*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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