Opinion | We Can Thank Drug Users for a Key Approach to Fighting Covid
- Bias Rating
-18% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-18% Somewhat Liberal
- Politician Portrayal
20% 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
N/A
- 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:
43% : Federal agencies advised research grantees to avoid the term; U.S. representatives at United Nations meetings refused to sign health and drug policy documents supporting it.41% : The concept of harm reduction has helped at least 18 states legalize marijuana by emphasizing the fact that it is less dangerous than legal drugs such as alcohol and tobacco.
40% : That's because when doing less harm is the measure of success, harm that's caused by prohibition and law enforcement counts against it, making conventional antidrug policies unsustainable.
35% : After all, if prohibition worked, people wouldn't use illegal drugs, and no such alternative would be needed.
*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.