A blue state could provide an early test for the Trump coalition: From the Politics Desk
- Bias Rating
10% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-22% 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
21% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
60% : When he first ran in 2016, Trump carried Lakewood by 50 points.51% : The sweet spot on immigration reform has eluded us a number of times.
47% : It's become a major source of GOP support statewide, one that Trump has taken to new heights.
46% : In New Jersey's 2025 gubernatorial race, Democrats will obviously be hoping that the demographic inroads Trump made are Trump-specific.
45% : Increased Hispanic support for Trump has also made the state's largest city, Newark, somewhat less of a vote bank for Democrats.
43% : "Trump used similar rhetoric during his first term, but his actions told a different story.
36% : They don't even speak the language of their country," Trump told moderator Kristen Welker.
35% : A major question that emerges from the 2024 election is whether Republicans can maintain this new demographic coalition -- and build on it -- without Trump himself being on the ballot.
35% : Trump lost Palisades Park, which is 63% Asian American, by just 5 points in November, compared to 22 points in 2020 and 32 points in 2016.
30% : Trump was still crushed in the city this year, losing it to Kamala Harris by 58 points, but that's actually a significant improvement from the 85-point loss he suffered when he first ran in 2016.
*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.