Deep Learning and Natural Language Processing to Detect Misinformation
Ian M. Cannon, David Fan
Misinformation is the act of spreading incorrect or false information about a given topic. With the upcoming presidential campaign, COVID-19, and other major events ongoing it is especially important to identify sources of misinformation. Our group proposes a novel method of classifying articles by using context and content indicators to debunk news articles containing misinformation. Most models take in articles and determine whether it is fake or not. We propose a method to predict content indicators to that highlight the credibility of an article and then decide if it is real or fake. This gives some agency to the reviewer by allowing one to see what were the major factors in deciding if an article is fake or not.
Primary Advisor's Department
Stander Symposium Posters, College of Arts and Sciences
United Nations Sustainable Development Goals
Peace, Justice, and Strong Institutions; Quality Education
"Deep Learning and Natural Language Processing to Detect Misinformation" (2020). Stander Symposium Projects. 1909.