Check out this free eBook to learn more about detecting misinformation in the news.
Will Elon Musk Give $2 Million To Wisconsin Voters Tonight? AG Wants State Supreme Court To Block It
- Bias Rating
10% Center
- Reliability
95% ReliableExcellent
- Policy Leaning
2% Center
- Politician Portrayal
29% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
29% Positive
- 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

Center
10%
Contributing sentiments towards policy:
71% : The Supreme Court race in Wisconsin is the first major election to take place since President Donald Trump's inauguration, and is taking place in a key battleground state that Trump won.53% : Musk formed America PAC last summer after endorsing Trump and went on to become one of the president's biggest election donors and public supporters, spending millions on Trump's election as Musk campaigned and spoke out in favor of the now-president.
42% : Musk's heavy involvement in the race has also turned the election into somewhat of a referendum on the billionaire's incursion into American politics, as Musk and his Department of Government Efficiency have spearheaded broad and controversial cuts throughout the federal government.
*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.
