Abstract
This study explores the impact of the #MeToo movement on Twitter on proposed bills related to sexual misconduct in the United States Congress using John Kingdon’s Multiple Streams Framework (MSF). Nine hypotheses are developed using Kingdon’s three streams to investigate the research question: How does social media impact the ability of individuals to shape public policy? While some of these hypotheses could not be tested due to limited data, analysis of 384 proposed bills from 2012 to 2017 showed proposal volume drastically increased during and after #MeToo, the legislative success of proposals was highly contextual based on political party dynamics within the United States and the impact of world events, and that new policy topics were proposed in Congress following #MeToo. These results have implications for the expansion of MSF and social movement theory, possible new avenues of content analysis using machine learning, and reassessment of relevant actor models in International Relations.
Advisor
Wrobel, Megan
Department
Political Science
Recommended Citation
Schultz, Robert Doak, "The Online World of Politics: Analyzing the Impact of the Public During #MeToo on Public Policy Using Machine Learning" (2023). Senior Independent Study Theses. Paper 10640.
https://openworks.wooster.edu/independentstudy/10640
Disciplines
American Politics | International Relations | Models and Methods
Keywords
#MeToo, Multiple Streams Framework, John Kingdon, Public Policy, social movement, mass mobilization, machine learning, natural language processing, topic modeling, sentiment analysis, United States Congress, congressional data, twitter, international relations
Publication Date
2023
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2023 Robert Doak Schultz