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Virginia governor's race scrambled by possible GOP primary challenge

  • Bias Rating

    52% Medium Conservative

  • Reliability

    70% ReliableGood

  • Policy Leaning

    64% Medium Conservative

  • Politician Portrayal

    -38% 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

4% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

52% : " Gov. Glenn Youngkin (R-VA) won the gubernatorial race in 2021 in part by running on the backlash to Democratic leadership during the COVID-19 pandemic and by keeping Trump at arm's length during the campaign season.
51% : " In a statement to the Washington Examiner, Spanberger campaign spokeswoman Libby Wiet said the former congresswoman has "been focused on listening to Virginians across the Commonwealth about their vision for strong public schools, safe communities, and a more affordable Virginia.
45% : But Brian Kirwin, a longtime Republican strategist in Virginia, warned that the anti-Trump strategy isn't enough to win over voters, nor is Earle-Sears running as Youngkin's No. 2. "Once you get past that, it's going to come down to the actual two people, and what they want to do," Kirwin said.
33% : " Trump lost Virginia in 2024 by nearly 5 percentage points, making Earle-Sears's path to victory even harder.
29% : But in Virginia, which has never voted for Trump in his three races, a connection to the president could hurt either GOP candidate in the general election.
18% : "Donald Trump's name will not appear on the Virginia ballot, but the reality is the gubernatorial race this year will be all about President Trump," said Stephen Farnsworth, a political science professor at the University of Mary Washington.

*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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