The Advocate Article RatingJury returns guilty, not guilty verdicts Saturday for brothers in murder trial of boxer
- Bias Rating
-68% Very Liberal
- Reliability
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- Policy Leaning
-68% Very Liberal
- Politician Portrayal
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-100%
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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
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "The defense pointed to other suspects law enforcement may have overlooked and questioned whether someone could have placed the glove tip at the scene of the crime." | Negative | -18% Liberal |
| "Roya Boustany, the other state prosecutor on the case, said she was upset by the defense attorneys suggesting the state was hiding evidence and that law enforcement would plant DNA at the scene of a crime." | Negative | -28% Liberal |
| "They said the state's evidence was circumstantial, continuously pointing to errors in law enforcement reports, questioning the accuracy of cell phone data and probing witnesses about inconsistencies in their testimonies." | Negative | -34% Liberal |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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100%
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Contributing sentiments towards policy:
41% : The defense pointed to other suspects law enforcement may have overlooked and questioned whether someone could have placed the glove tip at the scene of the crime.36% : Roya Boustany, the other state prosecutor on the case, said she was upset by the defense attorneys suggesting the state was hiding evidence and that law enforcement would plant DNA at the scene of a crime.
33% : They said the state's evidence was circumstantial, continuously pointing to errors in law enforcement reports, questioning the accuracy of cell phone data and probing witnesses about inconsistencies in their testimonies.
*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.