Did Kamala Harris work at McDonald's or not?
- Bias Rating
50% Medium Conservative
- Reliability
55% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
1% 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
2% Positive
- 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:
47% : "I've now worked [at McDonald's] for 15 minutes more than Kamala," Trump said from the drive-thru window on Sunday, wearing an apron over his dress shirt and signature red tie.46% : An Axios report found that she's shifted her positions on at least nine areas, including the environment, guns, immigration, reparations and Medicare for All.
38% : "Turned out she didn't work at McDonald's," Trump said at a Moms for Liberty convention in Washington over the summer.
32% : "McDonald's is code for Trump," Richard Laermer, the chief executive of RLM Public Relations, told Newsweek.
21% : Trump has regularly tried undercut the biographical details of his political opponents.
9% : Trump has used the lack of clarity on the McDonald's job to attack Harris repeatedly.
*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.