- Bias Rating
-10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
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 |
---|---|---|
"In a matter of seconds, he shot hundreds of rounds and destroyed families ... it will happen again if we don't have the federal assault weapons ban." | Negative | -18% Liberal |
"Walorski, 58, was born in South Bend, Ind., and was first elected to Congress in 2012." | Positive | 10% Conservative |
"Rep. Jackie Walorski, R-Ind., was killed Wednesday in a car crash in her home state of Indiana." | Negative | -18% Liberal |
"The statement said Walorski's husband, Dean Swihart, learned of her death from the Elkhart County Sheriff's office." | Negative | -30% Liberal |
"House Minority Leader Kevin McCarthy shared a statement on Twitter on Wednesday afternoon from Walorski's office confirming her death in Elkhart County in northern Indiana." | Negative | -48% Liberal |
"House Minority Leader Kevin McCarthy shared a statement on Twitter on Wednesday afternoon from Walorski's office confirming her death in Elkhart County in northern Indiana." | Negative | -48% Liberal |
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
41% : "In a matter of seconds, he shot hundreds of rounds and destroyed families ... it will happen again if we don't have the federal assault weapons ban."*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.