Comic Sands Article Rating

Old Trump Tweet Insulting Marco Rubio Resurfaces After Trump Picks Him For Cabinet

Nov 12, 2024 View Original Article
  • Bias Rating

    22% Somewhat Conservative

  • Reliability

    35% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -43% 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

11% Positive

  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

50% : During the heated primary, Trump dubbed him "Li'l Marco," sparking sharp exchanges between the two.
45% : Despite being passed over for vice president this year, Rubio has continued to back Trump as a key campaign surrogate.
41% : However, his stance on immigration led some conservatives to question his commitment to their agenda, a stance that complicated his bid for the Republican presidential nomination in 2016, where he faced off against Trump and others.
16% : So why did Trump once refer to Rubio as a "total lightweight," suggesting that Rubio is not cut out for top governmental positions at all?
15% : Yet after Trump's victory in 2016, Rubio mended ties, informally advising Trump on foreign policy and helping him prepare for his first debate with President Joe Biden in 2020.
12% : Yet that's exactly what Trump did in a tweet dated November 9, 2015, writing:"Marco Rubio is a total lightweight who I wouldn't hire to run one of my smaller companies - a highly overrated politician!
11% : "Trump was criticized -- and people were quick to point out that Rubio likely won't last too long in the second Trump administration.

*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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