POLITICOHarris and Trump don't have the HBCU support they think
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
-38% Somewhat Left
- Politician Portrayal
-5% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias 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
13% Positive
- 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:
77% : "They do a very important job and a great job," Trump said of HBCU school leaders at a June campaign stop in Detroit.63% : Trump, as president, vowed to make HBCUs a top priority.
60% : "These institutions are a vital part of our country's future, and [Trump] is committed to keeping them strong, keeping them funded, and making sure they continue to succeed," said Janiyah Thomas, the Trump campaign's Black media director.
51% : " Trump signed a bill in 2019 that reauthorized $225 million in mandatory funding to minority-serving institutions, which included $85 million in recurring funds for HBCUs.
45% : Trump regularly flaunts his record on HBCUs in his pitches to Black voters, while Harris hired a former president of an HBCU to lead her outreach to the institutions.
44% : "So I got you long-term financing and I think all of them are voting for Trump.
*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.
