Understand the bias, discover the truth in your news. Get Started
Medscape Article Rating

Stock Inhalers Relieve Asthma Symptoms at Schools, Prevent Costly ER Trips

  • Bias Rating
  • Reliability

    75% ReliableGood

  • Policy Leaning

    2% Center

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

62% : " The pilot in Chicago public schools was supported by grants from the American Lung Association and the Agency for Healthcare Research and Quality.
61% : RESCUE studies were supported with funding from the Illinois Department of Public Health.
59% : Supported with state funding, RESCUE distributes inhalers and spacers according to schools' student population and asthma burden and provides training for nurses and school staff.
55% : Meanwhile, Asthma and Allergy Impact and Rescue (AAIR), a nonprofit affiliated with the Asthma and Allergy Foundation of America, is working to equip schools with RESCUE -- a program it has run since 2012 in St. Louis and more recently expanded to public schools across Missouri and Illinois.
54% : In Chicago, where 12.9% of children have asthma and prevalence rises to 19.9% in predominantly Black areas, researchers conducted a pilot study to evaluate the feasibility and impact of a stock inhaler program in public schools.

*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.

Copy link