Most US students are recovering from pandemic-era setbacks, but...
- Bias Rating
-10% Center
- Reliability
80% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
8% Positive
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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
-3% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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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.59% : 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.
56% : Chicago officials credit the improvement to changes made possible with nearly $3 billion in federal relief.
56% : Chicago officials credit the improvement to changes made possible with nearly $3 billion in federal relief.
56% : Chicago officials credit the improvement to changes made possible with nearly $3 billion in federal relief.
56% : Chicago officials credit the improvement to changes made possible with nearly $3 billion in federal relief.
48% : "States need to start planning for what they´re going to do when the federal money runs out in September.
45% : (AP Photo/Jacquelyn Martin)"The recovery is not finished, and it won´t be finished without state action," said Thomas Kane, a Harvard economist behind the scorecard.
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.