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- Bias Rating
-6% Center
- Reliability
N/AN/A
- Policy Leaning
-6% Center
- 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
4% Positive
- 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:
53% : * May 7, 10 a.m. to 2 p.m., Columbiana County Fairgrounds, 225 Lee Ave., Lisbon * May 23, 12-3 p.m. East Palestine Resiliency Center, 50410 State Route 14, East Palestine * June 3, 1-5 p.m., East Palestine Memorial Public Library, 309 N Market St., East Palestine * June 10, 10 a.m. to 3 p.m., Carnegie Public Library, 115 9th St., Wellsville For more information, contact Kate Shumaker at Shumaker 68@osu.edu or 330-674-3015 For more information, contact LuAnn Duncan at Duncan.920@osu.edu or 330-533-5538 * May 19, testing from 8 a.m. to 10 a.m. and noon to 2 p.m., class from 10 a.m. to noon, Mahoning County Extension meeting room, 290 S Broad St., Canfield * June 14, testing from 5-6 p.m., class from 6-8 p.m. For more information, contact Erin Ruggiero Ruggiero.46@osu.edu or call 330-661-6410 By appointment only, Medina County Extension Office, 4046 Medina Road, Medina For more information, contact Portage County Extension at 330-296-6432 * May 5, 8:30 a.m. to 12:30 p.m., Portage County Extension Office Community Room 101*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.