Why the Upcoming Deportations Will Increase American Confidence in Elections
- Bias Rating
-10% Center
- Reliability
60% ReliableFair
- 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
25% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
66% : The risk of non-citizen voting is real.60% : Historically, we have seen multiple instances of non-citizen voting -- including, for example, the instance of a Chinese student living in Michigan who cast his illegal ballot this past election cycle.
57% : Additionally, we know that many states participate in Automatic Voter Registration, in which anyone applying for a driver's license is automatically put on the voter roll (Michigan, incidentally, is one of those states).
54% : Of course states should check to see if their voter rolls contain non-citizens, in coordination with federal government agencies.
52% : States are responsible for safeguarding the votes of their own citizen residents and promoting trust that the votes are counted as cast.
51% : While we have stood behind numerous commonsense policies that enhance American confidence in elections and are broadly supported across the aisle, such as requiring voter ID and prohibiting private funding of elections administration, we are additionally glad of an upcoming change that will greatly increase election security: deportation of illegal aliens residing across the United States.
42% : Of course Automatic Voter Registration should be prohibited.
41% : In the past four years, at least 13 million illegal immigrants have entered the United States, coming from every country in the world, per U.S. Customs and Border Protection.
*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.