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Analyzing Political Bias through a User-Friendly Interface

Lightfoot, Colin
Abstract
Many news outlets report stories shown with biased undertones that mislead readers to believe one story over another about the same event. To help people delineate between liberallyand conservatively-biased news articles, we created a website which uses a recurrent neural network with long short-term memory nodes trained to identify bias found in news articles. The network achieved an F1 Score of 0.76, and is used to provide one liberally-biased article and one conservatively-biased article side-by-side for a user to read when the user searches for a specific news story
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2017-12-01
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Undergraduate Honors Theses
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Deverick, James W.
Davis, Timothy
Lewis, Robert Michael
Patel, Mainak
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Computer Science
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https://scholarworks.wm.edu/handle/internal/10516
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