Bizpac Review Article Rating

Tulsi Gabbard: 'Voting for Donald J. Trump' will hold Biden accountable for 'banana republic' trial

  • Bias Rating

    64% Medium Conservative

  • Reliability

    50% ReliableFair

  • Policy Leaning

    70% Medium Conservative

  • Politician Portrayal

    -8% 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

-6% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

40% : "If you turn on the news right now, you're going to see almost nothing but people talking about what happened in that New York courtroom today with Donald Trump," she began.
40% : "I think it's important that we take a step back and really look at what are the very serious consequences that have come from this that extend far beyond this specific case, these charges this verdict and even Donald Trump, what we are seeing here should be a wake up call to every American regardless of your political affiliation, regardless about how you feel about President Trump or President Biden," Gabbard continued.
39% : "Gabbard concluded, "November 5th is a critical election where we have the opportunity to hold these people to account by voting them out of office on November 5th and voting for Donald Trump,""The Democrat Elite reject our Founding Fathers' recognition that our inalienable rights come from God -- not the government," she previously wrote on X. "I could no longer in good conscience be associated with such a Party.
38% : "Now, this isn't something that is only happening to Donald Trump.
11% : They have done this through their personal political persecution of Donald 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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