A messaging battle is set for the final days of 2024 campaign: 16 million jobs vs. 20% higher prices
- Bias Rating
50% Medium Conservative
- Reliability
70% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
31% 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
22% 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:
31% : "With the swap out of Harris at the top of the ticket, it seems like Democrats are maybe in a little bit better position on the economy, although Trump generally still has advantages on that issue.14% : Make America Great Again Inc. -- a super PAC supporting Trump -- called it a "fake jobs report" charging that "Americans don't trust these reports because they feel the pain of this economy every single day.
14% : "Polling has tended to show Trump with a lead -- but a small one -- on economic issues overall as Kamala Harris has made up ground on the topic.
8% : Trump has shown a lead on the economy in most polls but some polls have shown the race within the margin of error or even a narrow Harris lead.
*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.