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Explore the intersection of computer science, mathematics, and media studies in this 27-minute conference talk from EuroPython 2022. Delve into a groundbreaking study that uses neural networks and SVMs to quantify and measure perceived bias in news media. Discover surprising findings about the actual extent of polarization in mainstream news agencies and its impact on fake news vulnerability. Learn how this research could influence future policy-making, voting, and governmental decisions. Examine the limitations of current methodologies and consider potential areas for further investigation, including topical biases and the role of social media in shaping perceptions of news bias.