Elon Musk Spent Over a Quarter Billion to Elect Trump
- Bias Rating
48% Medium Conservative
- Reliability
20% ReliablePoor
- Policy Leaning
70% Medium Conservative
- Politician Portrayal
16% 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
28% 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
Contributing sentiments towards policy:
52% : Its name is a reference to the "Make America Healthy Again" slogan of Robert F. Kennedy Jr., who endorsed Trump for president in August.27% : The Maha Alliance's website says it was "led by the powerhouse team that ran Kennedy's presidential campaign," and the group spent millions of dollars supporting Trump and opposing Kamala Harris.
12% : Musk injected more money into a "dark money" group called Building America's Future that this fall funded super PACs backing Trump and opposing Harris.
8% : The PAC began running digital ads and text messages on October 25, invoking the name of the late Supreme Court justice Ruth Bader Ginsburg to say that Trump would oppose a federal abortion ban, and that Trump and Ginsburg share a position on the matter.
*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.