WKYT Article Rating- Bias Rating
-40% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
-40% Medium Liberal
- Politician Portrayal
N/A
Extremely
Liberal
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Liberal
Moderately
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Center
Somewhat Conservative
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Conservative
Very
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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
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "Law enforcement authorities had enough officers on the scene of the Uvalde school massacre to have stopped the gunman three minutes after he entered the building, and they never checked a classroom door to see if it was locked, the Texas public safety chief testified Tuesday, pronouncing the police response an abject failure." | Negative | -20% Liberal |
| "The decision by police to hold back went against much of what law enforcement has learned in the past two decades since the Columbine High School shooting in Colorado that left 13 dead in 1999, McCraw said." | Negative | -22% Liberal |
Bias Meter
Extremely
Liberal
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Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
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Extremely
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
40% : Law enforcement authorities had enough officers on the scene of the Uvalde school massacre to have stopped the gunman three minutes after he entered the building, and they never checked a classroom door to see if it was locked, the Texas public safety chief testified Tuesday, pronouncing the police response an "abject failure."39% : The decision by police to hold back went against much of what law enforcement has learned in the past two decades since the Columbine High School shooting in Colorado that left 13 dead in 1999, McCraw said.
*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.