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UB's Center for Plastics Recycling Research and Innovation hosts first New York State Microplastics Summit
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.
55% : These emerging contaminants are an inevitable presence of microplastics in water, soil, the air and even in the bodies of animals and humans, and collaborative, multidisciplinary research is necessary to advance solutions." said John D. Atkinson, Scott and Coleen Stevens Chair in Engineering Sustainability and associate professor in the Department of Civil, Structural and Environmental Engineering.
*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.
