Understand the bias, discover the truth in your news. Get Started
Business Insider Article Rating

DC police officer Michael Fanone slams Trump allies for their 'disgraceful' treatment of law enforcement in emotional testimony

Jul 28, 2021 View Original Article
  • Bias Rating

    -44% Medium Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -50% Medium Liberal

  • Politician Portrayal

    20% Negative

Bias Score Analysis

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

Overall Sentiment

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

51% : He's been an outspoken advocate for law enforcement and pushed for an investigation into the Jan. 6 riots.
37% : Fanone said that the riot, which he's compared to a "medieval battle scene," was the most shocking event he'd ever dealt with during his nearly two decades in law enforcement.
35% : At one point during his nearly 15 minutes of testimony, Fanone directed his frustration at the many Republican lawmakers and others who've downplayed the events of Jan. 6 and ignored pleas from law enforcement to investigate the attack.

*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.

Copy link