News OneBomb Threats Target Multiple HBCUs For Second Time In One Month
- Bias Rating
-12% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
16% Somewhat Conservative
- Politician Portrayal
12% Positive
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:
60% : "Solving these crimes and bringing those responsible to justice should be a top priority for federal law enforcement."58% : "Solving these crimes and bringing those responsible to justice should be a top priority for federal law enforcement," the HBCU Caucus said in a statement.
51% : If you have any information that could assist federal law enforcement in solving this crime, please call the ATF at (888) 283-8477 or the FBI at (800) 225-5324."
50% : Leadership from the HBCU Caucus, a bipartisan group advocating for historically Black colleges and universities, called for law enforcement to figure out what is going on.
39% : "Law enforcement agencies continue to investigate this heinous threat.
*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.
