Fulton County, Pa., chicanery local example of Trump's lies possibly costing taxpayers
- Bias Rating
-26% Somewhat Liberal
- Reliability
60% ReliableFair
- Policy Leaning
6% Center
- Politician Portrayal
-28% Negative
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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.
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
49% : In the case of Fulton County, which is right next door to Franklin County, the Pennsylvania Supreme Court ruled against two of the three Fulton County commissioners for secretly allowing an out-of-state third party to access the county's voting machines and to copy private voting machine data.49% : Ignoring the law, manufacturing non-existent facts, and turning democracy on its head are all serious matters, and those involved will be dealt with appropriately by the courts.
47% : The county is required to reimburse Pennsylvania's Department of State for legal costs and fees which were expended to protect the machines from outside manipulation.
45% : So why in the world would the commissioners in Fulton County, Pa., feel compelled to go to Michigan to hire a lawyer who is now charged with breaking the law?
38% : This whole episode took another twist that could be dismissed as absurd, if it were not so serious and such a threat to our way of government and freedom.
31% : These included Trump pushing the Georgia secretary of state to find the necessary votes to overturn the election results and then pressuring the state of Georgia to put forward a slate of false electors.
14% : So just how stupid is it that when the county voted more than 85% for Trump, that the commissioners broke the law to see, what, why Trump didn't win more?You might think that this problem in Fulton County, Pa., may have ended here.
*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.