Date Thesis Awarded

12-2017

Document Type

Honors Thesis

Degree Name

Bachelors of Science (BS)

Department

Computer Science

Advisor

James W. Deverick

Committee Member

Dr. Timothy Davis

Committee Member

Dr. Robert Michael Lewis

Committee Member

Dr. Mainak Patel

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

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

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