Fox News Article Rating

Vance vs. Walz: Think VP debates don't matter? Just look at these 6 examples

  • Bias Rating

    50% Medium Conservative

  • Reliability

    50% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -6% 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

1% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

56% : Will they opt for a 2016-Pence like figure who appears capable of translating Trump's Make America Great Again movement into a set of achievable policies?
27% : Pence had a clear objective: focus on the probable policies of a Trump administration - rather than specific statements Trump had made --- and make Trump acceptable to both evangelical voters as well as more moderate Republicans who had opposed Trump's nomination.
15% : Walz does well off-the-cuff, and has created many viral moments, especially when he called Trump and Vance "weird."
9% : And that is how, precisely a month later, they were able to get voters who disliked both Clinton and Trump to vote for Trump - and help him win the election.
1% : Tim Kaine Interrupts: The debate between the two men occurred a week after the first Donald Trump-Hillary Clinton debate, where Trump had been argumentative and seemingly ill-prepared - and after numerous news cycles focused on Trump getting into a fight with a former Miss Universe whom Trump had forced to lose weight.

*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.

Copy link