York Dispatch Article Rating

Most U.S. students are recovering from pandemic-era setbacks, but millions are making up little ground

Jun 02, 2024 View Original Article
  • Bias Rating

    -18% Somewhat Liberal

  • Reliability

    75% ReliableGood

  • Policy Leaning

    -22% Somewhat Liberal

  • Politician Portrayal

    8% 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

16% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

60% : States have used some money from the historic $190 billion in federal pandemic relief to help students catch up, but that money runs out later this year.
58% : Lisa Coons, Virginia's superintendent of public instruction, said last year's state test scores were a wake-up call.
56% : Chicago officials credit the improvement to changes made possible with nearly $3 billion in federal relief.
49% : "The recovery is not finished, and it won't be finished without state action," said Thomas Kane, a Harvard economist behind the scorecard.
48% : "States need to start planning for what they're going to do when the federal money runs out in September.
47% : Supreme Court reverses new trial for man once on death row in art gallery owner's killingMORE: Search begins for new Lincoln Intermediate Unit executive directorNationally, students made up one-third of their pandemic losses in math during the past school year and one-quarter of the losses in reading, according to the Education Recovery Scorecard, an analysis of state and national test scores by researchers at Harvard and Stanford.
37% : Funding public education does make a difference.

*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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