
Fairmont City Council prepares next set of actions, bids 2023 adieu
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
-65% Negative
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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
6% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
60% : According to Austin McVey, director of Social Security at the WV State Auditor's Office, the recent passage of a new addition to West Virginia's code mandates that all participating employers with members in the Municipal Police Officers and Firefighters Retirement System hold a vote to determine if their members want Social Security coverage.54% : "Before this code was passed, employees in the MPFRS were unable to have Social Security coverage," McVey wrote in an email.
54% : "The vote was to decide if these employees under MPFRS in the City of Fairmont would like to opt-in to paying into Social Security," Kirk wrote in an email.
52% : Firefighters opted into Social Security, while police declined coverage.
50% : The city also acknowledged the results of a vote that fire and law enforcement employees held to decide whether or not to opt-in to Social Security.
49% : "Prior to 2018, Fairmont officers were enrolled in a private pension plan and did not pay Social Security," Shine said in an email.
46% : "The Police officers in Fairmont under MPFRS voted not to have Social Security, the Firefighters in Fairmont voted to have Social Security taken out.
*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.