Fox News Article Rating

Top political gaffes of 2024

  • Bias Rating

    100% Very Conservative

  • Reliability

    55% ReliableFair

  • Policy Leaning

    100% Very Conservative

  • Politician Portrayal

    -47% 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% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

31% : These are very dishonest people," Trump said.
22% : Trump appeared to confuse then-Republican presidential primary opponent Nikki Haley with former House Speaker Nancy Pelosi during a rally in New Hampshire on Jan. 20.
15% : However, the remark was quickly likened to Hillary Clinton's labeling of half of Trump supporters as belonging in "a basket of deplorables" in 2016, a comment that was widely seen as undermining her campaign.
13% : Trump has previously blamed Pelosi for turning down National Guard support before the riot.
7% : Speaking in Concord, Trump said that Haley, his former ambassador to the United Nations, had been responsible for the collapse of Capitol Hill security during the Jan. 6, 2021, riot.
6% : Biden appeared to galvanize Republicans when he called Trump supporters "garbage" less than a week before Election Day.
4% : In a shocking move, Biden then pulled the plug on his campaign on July 21 and endorsed Harris, who would go on to lose to Trump in November.
3% : The presidential election generated numerous high-profile political gaffes this year, including President Biden's widely-panned debate performance and him calling Trump supporters "garbage" in the closing days of Vice President Kamala Harris' campaign.

*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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