What Charlotte students learned at the border: How faith fuels the immigrant journey
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
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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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Politician Portrayal Analysis
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Contributing sentiments towards policy:
55% : After going through U.S. Customs and Border Patrol processes, 50% or more are released to local non-governmental organizations (NGOs) and shelters, usually managed by nonprofit and faith organizations.54% : They learned about the limitations of public transportation, personal technology necessities, digital literacy , and learning English as a second language.
53% : "And then after that, I was really taken aback and could not abide by the kind of policies that were being put out at that time regarding how we treat immigrants, the way that we make them, all villains, etc, I think there were there were a lot of untruths that were being put out to the general public.
*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.