
The shift in the politics of young voters isn't quite what it seems
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
5% Positive
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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
23% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
57% : Non-White men now view Trump 29 points more favorably, a jump that's more than 20 points bigger than the increase among non-White women.57% : Partisanship overlaps with views of Trump, obviously, particularly in this era.
49% : What we've looked at so far is views of Trump.
47% : White men under 30 have gotten three points more favorable to Trump than White women in that age range.
47% : The central reason for this is that immigration laws were loosened after the baby boom, allowing more people from Latin America and Asia to come to the United States.
45% : Younger voters as a whole were more supportive of Trump in 2024 than they had been in prior elections -- though since we're tracking age over time, the pool of young voters in the 2016 election was not the same as the one in 2024.
43% : It's also true that Americans under the age of 30 have spent at least one-third of their lives in a political era during which Trump was the standard-bearer for one of the two major political parties.
40% : So let's look at a different metric: how Americans view Trump.
34% : Every news photo of a young White guy in a MAGA hat -- and there were many -- was an evocation of the idea that the party had squandered its long-standing advantage with young people to conspiratorial streamers and friends of Barron Trump.
*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.