The Daily Caller Article RatingMSNBC Can't Figure Out Why Trump Would 'Work A Fryer' At McDonald's, As Crowd Cheers Him On
- Bias Rating
46% Medium Conservative
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
8% 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
8% 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:
64% : Trump said as he could be seen thanking her as the crowd in the background could be heard cheering.48% : While Harris has maintained that she worked at the fast-food restaurant in California, Trump responded by saying he's "now worked 15 minutes more than Kamala.
38% : Trump was seen shaking hands with employees, frying the store's french fries and handing out food to supporters through the drive-by window.
14% : Since September, Trump has repeatedly accused Harris of lying about working at a McDonald's in Alameda, California, during the summer of 1983.
8% : In response, Lee defended the vice president, stating that "she tells the truth" while Trump is "constantly telling lies.
*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.