Trump's Right on Policy, But Harms Himself, Israel with Errors
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
96% Very Right
- Politician Portrayal
-43% 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
-14% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
71% : The Iran Nuclear Deal was one of the worst pieces of foreign policy legislation in American history.60% : What Trump should have said is that most people coming to America are good people who want to work hard and have a better life.
41% : While Trump phrased his policy concerns miserably, he was essentially right about the policy.
36% : With Trump, it's necessary to get past his awkward, if not terrible, turns of phrase to see the overall message.
36% : On policy consequences, Trump is as right as right can be.
31% : Onh the other hand, Trump needlessly gave Democrats ammunition.
30% : " Democrats falsely claimed that Trump said all Mexicans are rapists.
29% : In his first presidential announcement, Trump offered cringeworthy comments about Mexicans.
27% : Donald Trump Is Wrong . . .
27% : Trump should have connected the dots with policy analysis. Jewish Democrats did overwhelmingly vote for former Sens. Barack Obama and Joe Biden.
25% : Now Trump has angered Jewish Democrats.
23% : Trump then could have pivoted to the remaining problematic one percent including several thousand criminals, drug dealers and rapists entering America.
18% : Obsession with Trump's words often obscures the bigger policy picture, where Trump is far from wrong.
*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.