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Daily Mail Online Article Rating

AP Decision Notes: What to expect in Wisconsin's spring election

Mar 28, 2025 View Original Article
  • Bias Rating

    Center

  • Reliability

    45% ReliableAverage

  • Policy Leaning

    -2% Center

  • Politician Portrayal

    -12% 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

58% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

56% : At the top of Tuesday´s ballot is the race for state superintendent of public instruction, the position responsible for managing Wisconsin´s 900,000-student, $9 billion public school system.
56% : The Associated Press will provide vote results and declare winners for state Supreme Court, state superintendent of public instruction and the statewide ballot measure.
54% : Schimel has support from Republicans and conservatives, including endorsements from Trump and Elon Musk. Liberal-leaning justices gained a 4-3 majority on the court in 2023 for the first time in 15 years after Justice Janet Protasiewicz defeated former Justice Dan Kelly for a seat previously held by a conservative jurist.
48% : Wisconsin´s spring election on Tuesday for state Supreme Court, state schools chief and a proposed constitutional amendment requiring photo ID for voting will be the first major indication of the state´s political climate since Republican Donald Trump recaptured the White House in November.
47% : Protasiewicz also won over about a dozen counties favorable to Trump, most notably in Brown County, home of Green Bay, which Trump carried in all three of his White House campaigns.
29% : Trump edged Democrat Kamala Harris in Wisconsin

*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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