The Daily Wire Article RatingBragg Agrees To Testify Before House On Trump Prosecution
- Bias Rating
82% Very Conservative
- Reliability
75% ReliableGood
- Policy Leaning
48% Medium Conservative
- Politician Portrayal
-54% 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
5% 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:
39% : Jordan has also demanded records about Colangelo, a former official in the Department of Justice under the Biden administration, from New York Attorney General Letitia James and proposed that to defund the prosecutors who are taking on Trump in court battles that the former president -- who is seeking re-election -- and his allies claim are politically motivated.31% : Jurors returned a guilty verdict against Trump on all 34 felony counts of falsifying business records to allegedly cover up a tryst with adult film star Stormy Daniels as part of a "catch-and-kill" scheme to influence the 2016 election.
31% : Trump, who denied the affair and pleaded not guilty to the charges, said he would be "appealing this scam."
*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.