
Uvalde Shooting Report Describes Multiple Failures And A 'Lackadaisical Approach' By Law Enforcement
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-64% Medium Left
- Politician Portrayal
-55% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
45% : The committee's report, however, describes "shortcoming and failures of the Uvalde Consolidated Independent School District and of various agencies and officers of law enforcement."45% : CNN has reached out to Texas DPS, US Border Patrol, the Uvalde School District, the city's police department and the Uvalde district attorney for comment, among others.
38% : Chief among them -- why authorities waited more than an hour in the school hallway before confronting and killing the gunman, a move that law enforcement experts say may have potentially cost lives.
35% : A preliminary report by the Texas House investigative committee probing the Uvalde, Texas, school massacre outlines a series of failures by multiple law enforcement agencies, describing "an overall lackadaisical approach" by authorities on the scene of the shooting in which 21 people were killed.
*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.