The Many Dimensions of Political Discourse on Taiwan among Chinese netizens: an analysis of 20 million Weibo posts Huan-Kai Tseng, Osbern Huang, Waybe Lee and Yu-tzung Chang (National Taiwan University) Abstract: Can microblog data be a useful substitute for internet poll to gauge public... Read More The Many Dimensions of Political Discourse on Taiwan among Chinese netizens: an analysis of 20 million Weibo posts
What Matters to Voters? Examining Micro-Level and Macro-Level Drivers of Citizens' Economic and Political Evaluations James Bisbee (Princeton University) and Jan Zilinsky (New York University) Abstract: Voters form beliefs about the economy and politics on the basis of a potentially rich information... Read More What Matters to Voters? Examining Micro-Level and Macro-Level Drivers of Citizens' Economic and Political Evaluations
Religiosity and Secularism: A Text-as-Data Approach to Recover Jihadist Groups' Rhetorical Strategies Luwei Ying (Washington University in St. Louis) *Award for Best Graduate Student Poster - Applications* Abstract: Radical Islamists as the major force of the current "wave" of... Read More Religiosity and Secularism: A Text-as-Data Approach to Recover Jihadist Groups' Rhetorical Strategies
How a Deep Neural Network Contributes to Learning Causal Graph and Forecasting Political Dynamics Seo Eun Yang (Ohio State University) Abstract: Nonlinearity has been considerably interested in time series analysis of conflict/opinion dynamics. However, handling unknown nonlinear... Read More How a Deep Neural Network Contributes to Learning Causal Graph and Forecasting Political Dynamics
Joint Image-Text Classification Using a Transformer-Based Architecture Patrick Wu and Walter R. Mebane Jr. (University of Michigan) Abstract: The use of social media data in political science is now commonplace. Social media posts such as Tweets are... Read More Joint Image-Text Classification Using a Transformer-Based Architecture
Supervised Learning Election Forensics With Multi-Agent Simulated Training Data Fabricio Vasselai (University of Michigan) Abstract: The main advantage of using Supervised Machine Learning (SML) techniques to detect election fraud would be resorting to model... Read More Supervised Learning Election Forensics With Multi-Agent Simulated Training Data
Voter Turnout and Campaign Mail Features Marcy Shieh and Blake Reynolds (University of Wisconsin-Madison) Abstract: The way images and text are presented to us can have a significant impact on how we are affected by the message... Read More Voter Turnout and Campaign Mail Features
Changing the Dialogue: Candidate Position-Taking in Primary Elections Rachel Porter, Sarah Treul and Maura McDonald (University of North Carolina) Abstract: The record-high number of women who ran for the U.S. Congress during the midterm elections led... Read More Changing the Dialogue: Candidate Position-Taking in Primary Elections
Measuring Political Polarization in Mass Publics: The Cluster-Polarization Coefficient Isaac Mehlhaff (University of North Carolina, Chapel Hill) Abstract: Political polarization has become a key concern in many important topics within comparative politics, yet past... Read More Measuring Political Polarization in Mass Publics: The Cluster-Polarization Coefficient
Contrastive Multiple Component Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups Tzu-Ping Liu and Takanori Fujiwara (University of California, Davis) Abstract: Ideal point estimation and dimensionality reduction have long been utilized to simplify and cluster complex... Read More Contrastive Multiple Component Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
Beyond Topics: Semi-Supervised Learning for Texts From a Measurement Perspective Shiyao Liu (Massachusetts Institute of Technology) Abstract: This project proposes a new methodological framework to use text data as a measurement in political science. Despite the... Read More Beyond Topics: Semi-Supervised Learning for Texts From a Measurement Perspective
Extracting Political Events From Text Using Grammatical Dependency Parsing and Machine Learning Andrew Halterman (Massachusetts Institute of Technology) Abstract: This paper introduces a method that automatically extracts political events from text using grammatical parsing and... Read More Extracting Political Events From Text Using Grammatical Dependency Parsing and Machine Learning
Floor Speeches and Ideological Position: Estimating Ideology of Representatives Benjamin Guinaudeau and Simon Roth (University of Konstanz) Abstract: Estimating ideological position has always been challenging for political scientists. The technical progress of the... Read More Floor Speeches and Ideological Position: Estimating Ideology of Representatives
Legislative Networks and Agenda-Setting in the UNGA and UNSC Sabrina Arias and Robert Shaffer (University of Pennsylvania) Abstract: How do the agendas of the United Nations Security Council (UNSC) and United Nations General Assembly (UNGA)... Read More Legislative Networks and Agenda-Setting in the UNGA and UNSC