Mark Zuckerberg's Meta AI Loves Kamala Harris, Calls Donald Trump 'Crude and Lazy'
- Bias Rating
22% Somewhat Conservative
- Reliability
55% ReliableFair
- Policy Leaning
34% Somewhat Conservative
- Politician Portrayal
-16% Negative
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
N/A
- 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:
56% : "However, when the Post asked about Trump late last week, the chatbot's tone had somewhat softened.48% : It concluded by stating that the decision to vote for Trump ultimately depends on an individual's values, priorities, and policy preferences.
40% : However, it also erroneously claimed that Trump had appointed only two Supreme Court justices, when in fact he had appointed three.
40% : Earlier this month, Amazon's Alexa refused to answer questions about why voters should support Trump while enthusiastically endorsing Harris' qualifications for the executive office.
19% : Rep. James Comer (R-KY), chairman of the House Oversight Committee, expressed concern over the stark contrast in Meta's responses regarding Trump and Harris.
*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.