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Could the Utah Compact make a difference for America's immigration standoff?
- Bias Rating
-60% Very Liberal
- Reliability
90% ReliableExcellent
- Policy Leaning
-6% Center
- Politician Portrayal
-23% 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
-4% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
58% : "Among the flashpoints is the implementation by Trump, and later removal by Biden of the "Stay in Mexico" policy.50% : "It's not possible for us to take every person that crosses the border," he added, "but because the system is so broken, we can't figure out which ones to take and not to take."Continuing to advocate the Utah way on immigrationIn this era of mounting divisions and anti-immigration sentiment, Xiao admits being a "little worried" -- emphasizing that it's important that we "continue to hold on to those principles we have outlined" and expressing hope they can "stand up to those challenges ahead of us."Although many people today seem unaware of these immigration principles outlined above, "we do have some politicians who do try to stay mindful of the Utah Compact," says Jen Tanner, mentioning Rep. John Curtis as someone taking seriously the Utah Compact in his continuing work.
49% : "It's disappointing that it's been years and we've seen very little progress with immigration reform," Ivory says.
46% : The failure was indicative of the continuing difficulty lawmakers have had reaching any agreement as partisan concerns (and the ability to raise campaign money in connection with those concerns) have scuttled any effort to make progress with immigration reform.
*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.