The Democratic Delusions That Led to a Historic Defeat
- Bias Rating
10% Center
- Reliability
40% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-46% 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
19% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
52% : Now that Trump has won the popular vote and the Electoral College, the majoritarian illusion, like the demographic one, should be seen for what it is: an impediment to Democratic success.52% : On Election Night, in a state carried by Trump, Deluzio outperformed Harris in his district, especially in the reddest areas, and won comfortably.
42% : It's quite possible that, approaching 80, Trump will find himself once more among the least popular presidents in the country's history.
40% : Trump had a mass movement behind him; Kamala Harris was installed by party elites.
39% : Nearly half of Latinos and a quarter of Black men voted for Trump.
35% : Although reaction has dominated local or regional (mainly southern) politics, it's something new in our national politics -- which explains why Trump has been misunderstood and written off at every turn.
33% : It was hard to miss the broken landscape that lay open for Trump, but the establishments of both parties didn't see it, and neither did most of the media, which had lost touch with the working class.
31% : They don't think Trump will destroy democracy; he'll restore it to the people.
11% : It's unfair that Harris graciously conceded defeat, whereas Trump, in her position, would once again have kick-started the machinery of lies that he built on his own behalf, continuing to undermine trust in democracy for years to come.
*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.