
Thanedar moves to force House vote on Trump impeachment
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
86% Very Right
- Politician Portrayal
-15% 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
-1% 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:
34% : " Under House rules, Thanedar is formally launching an effort to try to get the GOP-controlled U.S. House to vote on his resolution to impeach Trump, though it won't necessarily do so.27% : " Thanedar has gained one co-sponsor for the resolution, Rep. Al Green of Texas, who made multiple attempts to impeach Trump during his first term.
21% : Trump in response called the Detroit congressman "a lunatic" at a campaign-style rally without mentioning his name.
20% : The seven impeachment articles accuse Trump of obstruction of justice, abuse of executive power and trade powers, usurpation of appropriations powers, bribery and corruption, creation of an unlawful office, violating First Amendment rights and "tyrannical overreach.
18% : Just 'Trump is bad.'
*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.