Uvalde pupils enrolling in online classes because they are too scared
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
-32% Negative
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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
N/A
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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100%
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Contributing sentiments towards policy:
57% : As a result, many parents in Uvalde have enrolled their children, still traumatized by the sounds of the bullets, in online classes which have been approved by the state while others are considering enrolling them in private schools.52% :'Hundreds of responders from numerous law enforcement agencies - many of whom were better trained and better equipped than the school district police - quickly arrived on the scene.'
49% : There were 47 'lockdown' events at the school between May and February, 90 percent of which concerned border patrol activity.
42% : It also claimed the 149 US Border Patrol agents and 91 state police on the scene should have helped with the 'unfolding chaos.''There was an overall lackadaisical approach by law enforcement at the scene,' the report read.
37% : Robb Elementary is located about one hour from the US-Mexico border, and teachers would often be notified about illegal migrants who were being pursued by border patrol in the area.
36% : The bottom line, the report found, is that 'law enforcement responders failed to adhere to their active shooter training, and they failed to prioritize saving the lives of innocent victims over their own safety.'
35% : In the aftermath of the mass shooting, poor decisions by law enforcement have attracted widespread criticism, but the Uvalde school system is also taking its share of the blame for basic failures - unlocked doors, a spotty alert system and a lax enforcement of rules.
*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.