Pitt Study Unveils New Insights on Ovarian Cancer Origins
- Bias Rating
-12% Somewhat Liberal
- Reliability
75% ReliableGood
- Policy Leaning
-12% Somewhat Liberal
- Politician Portrayal
N/A
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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
-33% Negative
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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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:
44% : This research was supported by Tina's Wish (The Honorable Tina Brozman Foundation), the Department of Defense (W81XWH-22-1-0852 and OC210139) and the National Institutes of Health (P50CA272218-01A1, U01 AG077923, P50 CA228991, R01CA242021, S10OD028483 and P30CA047904). /Public*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.
