JacobinLet's Make the US a Welfare Nation
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
50% Medium Right
- Politician Portrayal
4% Positive
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Bias Score Analysis
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
N/A
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
56% : Consider, for example, the somewhat absurd, but ultimately quite illuminating, phenomenon of kids being bullied about receiving a free school lunch by other kids who are, at the very moment of bullying, attending a free public school.42% : This approach, in addition to being needlessly complex, would make the welfare benefit opaque to a large share of the population who would wind up covered by an employer through a subsidized private insurance company plan.
26% : If benefit receipt itself is what made people feel bad, then all the kids in the free public school would be ashamed that they are even attending it.
*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.
