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Filtering Media Bias Through Machine Learning
The chapter delves into using machine learning to filter bias in news sources by training models to extract common facts from diverse opinions. It discusses combining left and right-leaning sources to achieve a more objective perspective and reflects on the challenges of automated content generation tools like Chat to BT.