New Haven Register Article Rating- Bias Rating
-12% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
30% Negative
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Center
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Conservative
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Conservative
-100%
Liberal
100%
Conservative
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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
N/A
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
| "This includes checks with state databases and local law enforcement." | Positive | 10% Conservative |
| "U.S. Sen. Chris Murphy said on Twitter that this is the first ever federal law against gun trafficking and straw purchasing." | Positive | 6% Conservative |
| "But it's real, meaningful progress, Murphy tweeted, adding it breaks a decades-long log jam and shows Democrats and Republicans can work together in a way that truly saves lives." | Positive | 0% Conservative |
| "Our plan will help ensure dangerous individuals who are a threat to themselves and others can't purchase weapons, provide increased mental health resources, an improve student support and safety, U.S. Sen. Richard Blumenthal tweeted." | Negative | -6% Liberal |
| "Murphy called it a breakthrough agreement on gun violence, saying it was the first one in 30 years." | Negative | -10% Liberal |
| "Murphy said the proposal will close the 'boyfriend loophole', so that no domestic abuser -- a spouse OR a serious dating partner -- can buy a gun if they are convicted of abuse against their partner.Most importantly, our plan saves lives while also protecting the constitutional rights of law-abiding Americans, the legislative group said in a statement." | Negative | -20% Liberal |
Bias Meter
Extremely
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-100%
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100%
Conservative
Contributing sentiments towards policy:
55% : This includes checks with state databases and local law enforcement.*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.