
Why Democrats Are Losing My Generation
- Bias Rating
10% Center
- Reliability
50% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-51% 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
34% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
62% : The same is even true of the supposed disconnect between Democrats and the so-called "new media" that Trump proved so adept at using.58% : As The New York Times reported in a fascinating 2014 study about the influence that someone's birth year has on their politics, there is almost a century of data showing that political sentiment is profoundly influenced by first impressions.
49% : After eight years of failure and amid the biggest recession in 80 years, they had become extraordinarily supportive of government intervention in the economy, nearly-unanimously opposed the Iraq War, and were far more likely to describe themselves as liberal than any of the generations before them.
26% : Clearly, a great number of youth voters were able to hold their noses and vote for an establishment Democrat they did not necessarily like when Trump was the alternative.
24% : But it's also true that voters my age overwhelmingly backed Democrats when those lockdowns were actually in place and Trump was running as the candidate who would get rid of them.
16% : Even after her failure to win over young voters in the primary, and even as she shed support from countless traditionally Democratic areas, Clinton still handily defeated Trump among young voters in 2016.
13% : While Obama and Sanders represented a new politics of outsider energy and economic liberalism, it could have been said, Clinton didn't, and young voters rejected her because of it.
*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.