Justice Department moves to reclassify marijuana as a less dangerous drug in historic shift
- Bias Rating
-6% Center
- Reliability
70% ReliableGood
- Policy Leaning
-4% Center
- Politician Portrayal
12% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
-4% Negative
- Liberal
- 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:
54% : Marijuana violations have taken over 10,000 truck drivers off the road this year, adding more supply chain disruptions Marijuana violations have taken over 10,000 truck drivers off the road this year, adding more supply chain disruptions Truck drivers are being tested more and the consequences for drug-related violations have increased Differing marijuana laws by state are causing confusion among truck drivers Truck drivers with violations tend to not return, adding to the shortage and supply chain woes Tags Lee-national Dcc Wire Be the first to knowGet local news delivered to your inbox!47% : Easing federal regulations could reduce the tax burden that can be 70% or more for marijuana businesses, according to industry groups.
*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.