
Long Island has swung toward Trump. Will voters there respond to anti-MAGA messaging?
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-26% Negative
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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
11% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
47% : Long Island Republicans have more openly embraced Trump than some of their colleagues in other suburban battlegrounds, both north of New York City and nationally.45% : Each argues they're better equipped to take on LaLota, who was one of the first battleground Republicans nationwide to endorse Trump.
36% : D'Esposito of Nassau County endorsed Trump not long after LaLota of Suffolk County did.
35% : By contrast, Rep. Marc Molinaro, whose district includes upper Hudson Valley, endorsed Trump quietly in March, declining to post the news on social media, and Lawler -- who represents a district just north of the city -- has yet to officially endorse the former president, even if he was a 2016 Trump delegate and acknowledged voting for him.
25% : Some Democrats argue that candidates could alienate voters who may be sympathetic to Trump but still Biden-curious or open to splitting their ballot by focusing on anti-MAGA messaging.
19% : But while campaigning against Trump as a threat to democracy may galvanize Democratic voters in a primary, it's a riskier approach in a general election.
11% : Laura Gillen, the Democrat challenging GOP Rep. Anthony D'Esposito, notably chose not to release a statement on the guilty verdict against Trump and references the former president only when connecting him to her rival.
*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.