EXCLUSIVE: Ex-Trump Advisor Purged From Federal Elections Board After Left-Wing Pressure Campaign, Emails Show
- Bias Rating
80% Very Conservative
- Reliability
95% ReliableExcellent
- Policy Leaning
62% Medium Conservative
- Politician Portrayal
-60% 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
-4% Negative
- 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:
30% : (RELATED: 'Nothing To Do With The Law': Election Lawyer Georgia Jury Recommended Charging Slams Process)Mitchell's appointment sparked backlash from Democrats and left-wing groups because her volunteer legal work for Trump's 2020 campaign and her presence on a Jan. 2, 2021 phone call where Trump told Georgia Secretary of State Brad Raffensperger to "find" enough votes for him to win the state.29% : The next day, Free Speech for People, the same group that was behind several recent efforts to kick Trump off the ballot, celebrated that Mitchell would not be reappointed.
19% : After the Fulton County grand jury's final report revealed it had recommended charging Mitchell in the racketeering case against Trump, Bonifaz continued to push for her removal in emails.
*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.