Forbes Daily: General Motors Is Abandoning Its Robotaxi Investment
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
-4% Center
- Politician Portrayal
-76% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
-11% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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:
66% : Take Melinda French Gates, at No. 8, who has pledged $1 billion over the next two years to advance women's power globally, or Malina Ngai, No. 75, Group CEO of AS Watson -- the world's largest international health and beauty retailer.46% : A basketball player has never before made the ranks of the Forbes list of the World's 100 Most Powerful Women, but the 22-year-old Clark was a driving force in a game-changing year for women's sports -- which is why she's No. 100 on this year's list, the spot reserved for someone who may not wield hard power like a CEO or president does, but who has nonetheless driven a major narrative in the year.
30% : Trump on Tuesday promised to fast track environmental approvals and other permits for any company making an investment of $1 billion or more in the U.S., though how he plans to do so remains unclear.
*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.