Veterans can protect America's schools, prevent attacks
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
30% Somewhat Right
- Politician Portrayal
N/A
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
- Conservative
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:
59% : Such hardening must be the product of a fusion of ideas from architects, students, teachers, school administrators, law enforcement, firemen, and veterans, for the physical plant of each school is unique.51% : Veterans could become essential bridges between school officials who, under the report's guidelines, are charged to conduct threat assessment inquiries, and law enforcement, who are charged to conduct threat assessment investigations.
46% : GOP REP CALLS DEM LEADERSHIP 'SERIOUSLY OUT OF TOUCH' FOR OPPOSING TIGHTER SCHOOL SECURITY While focused programs to foreclose the opportunity of individuals with a history of violence or who are mentally ill and have demonstrated dangerous behaviors should be a priority, general gun control is an ineffective means to curtail attacks at schools, which may also be carried out using a vehicle or a bomb.
*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.