Have Young People Really Turned MAGA?
- Bias Rating
- Reliability
80% ReliableGood
- Policy Leaning
N/A
- Politician Portrayal
-18% 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
18% Positive
- 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% : Rather, the swing seems to have resulted from moderate-to-somewhat-liberal young voters deciding to bet on Mr. Trump out of concern about the state of the economy -- and from young moderates and progressives who chose to stay home because they thought Ms. Harris was either too progressive or not progressive enough.26% : The more the Trump administration caters to these voters by doubling down on prayer in public schools, for example, or pursuing a national abortion ban or imposing restrictions on L.G.B.T.Q.+ rights, the more it risks alienating younger, more socially accepting voters who swung toward Mr. Trump for bigger paychecks and less expensive housing -- especially if the economy falters.
23% : The data suggest that the swing in young adults voting for Donald Trump did not reflect a major shift in ideology.
*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.