Trump urges cops union to watch for 'voter fraud'
- Bias Rating
42% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-45% 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:
59% : "We win so easily."Trump spoke to the Fraternal Order of Police, which has more than 370,000 members, just hours after the union endorsed him, as they did in 2016 and 2020.40% : "You can keep it down just by watching, because, believe it or not, they're afraid of that badge," Trump told the group.
33% : Trump has told officers to be more aggressive and has praised police who have done so, and he has said that he will work to pass legislation to improve police protection.
20% : "Before a single ballot has been cast, Trump has claimed that the November election will be riddled with fraud as he prepares to possibly call the integrity of the election into question if he loses again.
18% : "The idea of Trump telling the Fraternal Order of Police to take matters into their own hands and kind of go rogue, it's certainly not a positive from a healthy elections standpoint," she told The Times.
*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.