Opinion | Trump is Already Failing. That's the Key to a Big Democratic Rebound.
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-29% 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
11% 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:
55% : Mr. Sosnik was a senior adviser to President Bill Clinton from 1994 to 2000 and has advised more than 50 governors and U.S. senators.53% : Doug Sosnik was a senior adviser to President Bill Clinton from 1994 to 2000 and has advised over 50 governors and U.S. senators.
52% : "Coherent and appealing" are difficult goals, of course, when you are a federation of special interests -- such as abortion rights, the environment, social justice, gun control, L.G.B.T.Q. rights and a pro-labor agenda -- more than an inspiring and forward-looking political party.
50% : His blundered attempt to freeze federal money in ways that might affect popular programs, like Medicaid and Head Start, is an example of a prime opportunity to brand the G.O.P. as failing dangerously at governing.
44% : Especially for the past 10 years, the Democrats' primary mission was defeating Donald Trump rather than articulating a coherent and appealing vision for the future.
38% : Under Mr. Trump, the G.O.P. has become a working-class party, and its base is full of people who will be hardest hit by cuts in Medicare, Medicaid and Social Security, which now constitute almost half of all federal spending.
19% : With that in mind, Democrats need to start making a compelling argument that President Trump and Republicans are failing at governing.
*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.