Post and Courier Article RatingGamecocks know they're a No. 1 seed. But are they THE No. 1 seed?
- Bias Rating
-12% Somewhat Left
- Reliability
70% ReliableGood
- Policy Leaning
-12% Somewhat Left
- Politician Portrayal
N/A
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.
Log In
Log in to your account to see the in-depth bias analytics and more.
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
7% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
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:
53% : Yet the Gamecocks are accustomed to being overall No. 1, and feel they've earned it.52% : What does matter is the NET rankings, where USC also checked in at No. 2, but behind Connecticut.
52% : The past three seasons, the Gamecocks have had two, zero and zero losses going into the NCAAs, so they were easily No. 1 in the NET rankings and were named the top tournament seed.
51% : " Rankings -- at least those in the Associated Press Top 25 -- don't matter at this point, but the Gamecocks did take down former No. 1 Texas 64-45 in the title game ... and leapfrogged the Longhorns to No. 2 in this week's poll behind UCLA.
48% : Southern Cal also lost to Notre Dame (the Irish would have been a clear No. 1 if not for the late-season skid) and to Iowa.
*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.
