Will Donald Trump's victory cause a surge of asylum seekers fleeing to Canada? Here's what's different from 2016
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-46% 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
11% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
47% : However, with the Canadian refugee board already overwhelmed by an unprecedented backlog that has reached 250,000 claims, is Ottawa prepared for Trump 2.0?ARTICLE CONTINUES BELOW"We're already on this very dark path and so he's just going to continue what he has started in his first presidency, which is very discouraging given his rhetoric," said University of Ottawa Prof. Jamie Chai Yun Liew, who specializes in immigration, refugee and citizenship law.43% : With the Canadian refugee board already overwhelmed by an unprecedented backlog that has reached 250,000 claims, is Ottawa prepared for Trump 2.0?After Donald Trump was elected U.S. president in 2016, the number of asylum seekers in Canada doubled as his anti-immigration rhetoric and policies drove hundreds of thousands of irregular migrants through Roxham Road for refuge in this country.
28% : "It's not just like 'Trump got elected and I will leave,'" said Su, director of the university's Centre for Refugee Studies.
23% : Although Trump lost the 2020 election to President Joe Biden, many of his policies remained in place and the influx of irregular migration in Canada returned in 2022, when 91,665 claims were made here.
22% : "Su feels Trump likely has "more bark than bite" and Canadians should not tune in too much into his fear-mongering language.
*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.