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All 10 Republican Members Of Senate Energy Committee Sign Letter Urging Biden To Withdraw BLM Nominee Over 'Eco-Terrorism' Ties
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.
41% : Stone-Manning told the Senate Energy and Natural Resources Committee in writing in May that she had never been the target of a federal criminal investigation, but numerous news reports, accounts of federal law enforcement officials and statements from Stone-Manning herself at the time of the incident strongly suggest she was a target of the federal government's investigation into the 1989 tree spiking incident.
*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.