Two Young Voters Give Perfect Illustration Why They Left the Democrat Party
- Bias Rating
24% Somewhat Conservative
- Reliability
30% ReliableFair
- Policy Leaning
18% Somewhat Conservative
- Politician Portrayal
-57% Negative
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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
22% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
53% : Young people think emotionally rather than logically, especially when attending a university, but as they pay more attention and get out of their bubble, they realize that what the Democrats are selling -- free college tuition, the Green New Deal, and Medicare for All -- is only a fantasy.47% : Just when the Biden campaign thought they could buy young people's votes by canceling massive amounts of student debt, the opposite effect seems to be taking place.
47% : That could be one of the reasons they are leaning towards Trump because they saw what interest rates were like under his watch.
39% : It sounds like she will be choosing between Trump and Robert F. Kennedy Jr.Among many other issues, young people can't afford to buy a home due to high interest rates, high demand, and low supply.
33% : Oliveira told Jones that she will vote for Trump in November, as Guentzel has not decided yet who to pick.
33% : The Biden campaign has yet another group to pander to if he wants to get the same amount of young people who voted for him in 2020 to vote for him in 2024, but the reality is that many young voters are not as enthusiastic about Biden and that should cause concern for Biden HQ, as Trump seems to gain ground among the youth.
*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.