Image Data

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 usually multimodal, comprising...

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Rigorous Subjectivity: Demystifying and Improving Human Coding With Statistical Models

Matthew Tyler (Stanford University)

Abstract: Researchers are often tasked with applying subjective or contested labels to objects such as text and images. For example, researchers might hire coders to label the ideological slant of news articles. I show how two typical coding workflows in political science, traditional small-team...

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Pay attention to this! Explaining emphasis in legislative speech.

Oliver Rittmann (University of Mannheim), Tobias Ringwald (Karlsruhe Institute of Technology) and Dominic Nyhuis (University of North Carolina at Chapel Hill)

Abstract: Why do legislators sometimes deliver emphatic speeches and tedious monologues at other times? We argue that legislators make passionate appeals when...

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