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Full-Text Articles in Social and Behavioral Sciences
Incivility In 2022 Senatorial Elections, Mark Meyer
Incivility In 2022 Senatorial Elections, Mark Meyer
Theses/Capstones/Creative Projects
This honors capstone project will examine the effect of social media, specifically Twitter, on U.S. senate elections in 2022. It will track the tweets of personal and official campaign Twitter accounts from the end of the primary until election night in two “Toss Up” or highly contested seats in the 2022 senate elections. This project will examine the winner of the Republican and Democrat primaries only. All the tweets from the timeframe will be tracked and categorized by intention or use of the tweet. These categories will break down the tweet into what it was meant to do be it …
Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider
Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider
Interdisciplinary Informatics Faculty Proceedings & Presentations
We aim to predict activities of political nature in Egypt which influence or reflect societal-scale behavior and beliefs by using learning algorithms on Twitter data. We focus on capturing domestic events in Egypt from November 2009 to November 2013. To this extent we study underlying communication patterns by evaluating content-based and meta-data information in classification tasks without targeting specific keywords or users. Classification is done using Support Vector Machines (SVM) and Support Distribution Machines (SDM). Latent Dirichlet Allocation (LDA) is used to create content-based input patterns for the classifiers while bags of Twitter meta-information are used with the SDM to …