'Kamala Broke It, I Will Fix It' - Trump Gives Closing Pitch in Pittsburgh
- Bias Rating
50% Medium Conservative
- Reliability
20% ReliablePoor
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-24% 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
-22% 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:
35% : The forecast suggests the Harris campaign believes she will not win the election in a landslide, a prediction that some Republicans believe is mostly correct, with the caveat that Trump could win in a landslide.31% : Trump, some argue, has more paths to victory than Harris.
25% : Trump lost the Keystone State in 2020 by 1.2 percentage points.
14% : "Over the past four years, Americans have suffered one catastrophic failure, betrayal, and humiliation after another," Trump will say, according to prepared remarks provided by a senior Trump campaign aide to Breitbart News:Kamala Harris has delivered soaring prices and economic anguish at home, war and chaos abroad, and a nation-destroying invasion on our southern border.
11% : "Kamala broke it, I will fix it," Trump told supporters.
*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.