LEMMA: A Data-Driven Approach to Modeling the Spread of Extremism Over Online Platforms

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dc.contributor.advisorJabin, Pierre-Emmanuel
dc.contributor.authorFream, Mitchell
dc.contributor.authorHayes, Nathan
dc.contributor.authorKochar, Sahil
dc.contributor.authorKolbeck, Paul
dc.contributor.authorSchneider, Charlie
dc.contributor.authorSchwartz, Russell
dc.contributor.authorSharon, Olivia
dc.contributor.authorShen, Yuang
dc.contributor.authorWeiss, Winslow
dc.contributor.authorWolle, Robert
dc.date.accessioned2022-08-29T20:06:40Z
dc.date.available2022-08-29T20:06:40Z
dc.date.issued2022
dc.descriptionGemstone Team LEMMAen_US
dc.description.abstractThe online spread of extremist ideas has been a growing problem. Team LEMMA has worked to quantitatively model the spread of extremist ideas over Reddit in order to gain insight into how they may spread. A modest dataset of Reddit comments were manually rated on the level of extremist rhetoric present and used to train a machine learning algorithm to automatically classify large swaths of Reddit data. These ratings were then fit to a predictive agent-based model with the hopes of better understanding past trends and potentially forecasting future spread of extremism.en_US
dc.identifierhttps://doi.org/10.13016/d0qd-trvv
dc.identifier.urihttp://hdl.handle.net/1903/29099
dc.language.isoen_USen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtGemstone Program, University of Maryland (College Park, Md)
dc.subjectGemstone Team LEMMAen_US
dc.titleLEMMA: A Data-Driven Approach to Modeling the Spread of Extremism Over Online Platformsen_US
dc.typeThesisen_US

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