The Biden administration is hiding the real scale of the migrant...
- Bias Rating
10% Center
- Reliability
25% ReliablePoor
- Policy Leaning
16% Somewhat Conservative
- Politician Portrayal
26% Positive
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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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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
56% : According to the House Homeland Security Committee, CBP approved 93% of Mexican parole applicants, even though, according to the Department of Justice, it approved only 4% of Mexican asylum applicants in the first half of FY 2023.56% : The CIS FOIA dump also revealed that aside from the quarter-million migrants paroled this year at the US southern border, CBP has paroled another 221,456 citizens of Venezuela, Haiti, Cuba and Nicaragua, who were allowed to fly directly into their preferred port of entry.
55% : US Customs and Border Protection logged a record 269,735 migrants encountered in September.
54% : That figure came on the heels of a record-breaking fiscal year, in which CBP reported nearly 2.5 million migrant encounters.
50% : The rest came from 93 other countries, including more than 7,300 from "countries of national security concern," including Afghanistan, Iran, Yemen, Lebanon, Jordan, Egypt, Mauritania, Uzbekistan, Turkmenistan, China and elsewhere.
49% : Then, in May, at a White House press briefing, Homeland Security secretary Alejandro Mayorkas claimed that CBP admitted about 740 people per day through the plan, mostly Haitians.
35% : (Parole, in the immigration context, refers to an exception in the law that lets some noncitizens who would otherwise be ineligible for such protections work and live in the United States without fear of deportation.)
*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.