Why Authorities Want to Crackdown on the 'Anti-Lockdown Personality?'
- Bias Rating
54% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
N/A
- Politician Portrayal
70% Negative
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:
51% : In the West, this has manifested through the welfare and nanny state, which has seen government institutions, including social workers or law enforcement, gain increasingly intrusive powers.48% : Marcuse, the "father of the New Left," authored the book "One Dimensional Man" that would become the bedrock of the movement, underpinning progressive causes such as feminism, gay rights, abortion, and the hippies.
35% : Recent anti-lockdown demonstrations in Melbourne have been met with an array of colourful accusations from authority figures in the state of Victoria, including labels such as "anti-vaxxers," "conspiracy theorists," "far-right extremists," and "man-baby Nazis."
33% : The book suggested that certain "bad" personality types were drawn to "bad" ideas like fascism, nationalism, anti-Semitism, or traditionalism.
*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.