Why this former cop left the force: 'Policing is not about helping'
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
12% Somewhat Conservative
- 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 |
---|---|---|
"Huge cash grants were made to those law enforcement agencies that were willing to make drug-law enforcement a top priority, Alexander wrote." | Positive | 12% Conservative |
"Pelosi, who represents San Francisco and had officiated the couple's wedding, remembered Hormel as a beloved figure in our community." | Positive | 16% Conservative |
"As the first openly gay Ambassador, he had the courage to be a pioneer and had the patriotism to accept the challenge, Pelosi said in a statement, adding that he paved the way for a new generation of leaders and (elevated) the voices of LGBTQ voices in our foreign policy." | Positive | 14% Conservative |
"President Bill Clinton had first nominated Hormel for the diplomat job in October 1997." | Positive | 8% Conservative |
"House Speaker Nancy Pelosi on Friday aounced Hormel's passing." | Negative | -2% 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:
56% : "Huge cash grants were made to those law enforcement agencies that were willing to make drug-law enforcement a top priority," Alexander wrote.*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.