
Dems’ suicidal groupthink, Israel haters’ anti-aid insanity and other commentary
- Bias Rating
44% Medium Right
- Reliability
75% ReliableGood
- Policy Leaning
48% Medium Right
- Politician Portrayal
-59% 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.
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
54% : All too many voters “have had it with the Democrats,” largely “because of the party’s stubborn insistence on embracing gender identity and all things transgender.”52% : “Democrats are proclaiming that” the budget bill’s “modest Medicaid reforms are deadly,” but “the bill would improve healthcare by expanding private insurance options, which provide better access and health outcomes than Medicaid,” argues The Wall Street Journal’s editorial board.
48% : Fetterman and dozens of other Senate Democrats “voted to block the Protection of Women and Girls in Sports Act in March.”
44% : The GOP bill would let “employers provide workers with tax-free contributions to buy insurance on the individual market” and “let workers without employer coverage spend pre-tax income on premiums.”
41% : Groupthink brings “the suppression of dissenting voices and rejection of information that doesn’t fit the group’s consensus,” and Dems foolishly “told people to yell louder about how good the economy was doing” and how Trump was a threat “to reproductive choice and democracy.”
40% : The United Nations claims GHF “will ‘militarise aid delivery,’” while the BBC’s Jeremy Bowen “insisted Israel should be working with the UN, not the US.”
36% : As Dems present “a false choice between Medicaid and no insurance,” Republicans “are offering better and less costly healthcare.”
*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.