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Newsweek Article Rating

Republican plan could make it harder for some of their supporters to vote

  • Bias Rating

    22% Somewhat Conservative

  • Reliability

    55% ReliableAverage

  • Policy Leaning

    28% Somewhat Conservative

  • Politician Portrayal

    6% Positive

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

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

51% : And then they said that non-citizens don't actually vote, and then they said the SAVE Act will somehow result in voter suppression.
45% : States have invested decades of technological development and resources to ensure that voter registration is accessible to all Americans, but the SAVE Act would rip away these services.
44% : Most of the more rural states skewed Republican as well. Vermont and Maine, the two most rural states, backed Vice President Kamala Harris, but the other 8 states the U.S. Census Bureau says has more than 40 percent of its population living in rural areas handily backed Trump.
43% : In the 2024 presidential race, 64 percent of rural voters backed Pesident Donald Trump, compared to 51 percent of suburban and 38 percent of urban voters, according to CNN exit poll data.
39% : Critics have also raised questions about whether the SAVE Act will make it more difficult for married women, whose married names may not match that on their birth certificate, to vote.
10% : That's the insulting, condescending argument Democrats like Rep. Julie Johnson are using to oppose voter ID laws," Representative Mary Miller, an Illinois Republican, said on X in response to a critique of the bill from the Texas Democrat.

*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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