PBSNew citizens in Michigan share what voting means to them
- Bias Rating
-24% Somewhat Liberal
- Reliability
85% ReliableGood
- Policy Leaning
-26% Somewhat Liberal
- Politician Portrayal
56% 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.
Sentiments
26% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Somewhat Liberal
Center
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
58% : Along with immigration reform, she would love to see amendments made to the Childhood Citizenship Act through the passage of the Adoptee Citizenship Act to retroactively grant citizenship to adoptees who were left out of the first law.55% : This election, Ghazi Edwin will be voting on issues of reproductive freedom, the economy, and student loan debt.
53% : He is a board member for Michigan United, an immigrant rights group that in part advocates for immigration reform.
49% : Although he now has temporary protection from deportation granted by the Deferred Action for Childhood Arrivals or DACA program, he is unable to naturalize or vote.
49% : "Honestly, something that definitely affects me," she said of student loan debt.
48% : Michigan United board member Sergio Martinez speaking about immigration reform in Detroit, Michigan, in 2013.
*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.