Business Insider Article Rating

United Airlines employees accused of years-long scheme selling weed stolen out of customers' checked baggage

  • Bias Rating

    -46% Medium Liberal

  • Reliability

    60% ReliableFair

  • Policy Leaning

    46% Medium Conservative

  • Politician Portrayal

    -68% 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% : In 2017, SFO employees told SF Weekly that they didn't confiscate "a personal use amount" of marijuana from passengers.
40% : The Justice Department charged two United Airlines baggage handlers, alleging they participated in a years-long scheme to sell marijuana stolen out of passengers' bags.
35% : According to the complaint filed on June 9, Dunn and Webb made as much as $10,000 a week selling marijuana that they stole from departing passengers' checked luggage with the help of at least three other workers.
35% : The pair, who were often seen with Dunn and Webb, were found to be carrying 30 pounds of marijuana, per the criminal complaint.
34% : A confidential source close to the alleged scheme told law enforcement that they were paid $2,000 each shift to help steal the cannabis from travelers' bags and load it into 15-20 gallon black trash bags about twice each week.

*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