67 citations · 107 across the 4 of their papers we have counts for
5 papers
Improving Computer Vision Interpretability: Transparent Two-level Classification for Complex Scenes
Stefan Scholz, Nils B. Weidmann, Zachary C. Steinert-Threlkeld +2
Treating images as data has become increasingly popular in political science. While existing classifiers for images reach high levels of accuracy, it is difficult to systematically…
Taxing dissent: The impact of a social media tax in Uganda
Levi Boxell, Zachary Steinert-Threlkeld
We examine the impact of a new tool for suppressing the expression of dissent---a daily tax on social media use. Using a synthetic control framework, we estimate that the tax reduc…
Understanding the Political Ideology of Legislators from Social Media Images
Nan Xi, Di Ma, Marcus Liou +3
In this paper, we seek to understand how politicians use images to express ideological rhetoric through Facebook images posted by members of the U.S. House and Senate. In the era o…
Image as Data: Automated Visual Content Analysis for Political Science
Jungseock Joo, Zachary C. Steinert-Threlkeld
Image data provide unique information about political events, actors, and their interactions which are difficult to measure from or not available in text data. This article introdu…
Protest Activity Detection and Perceived Violence Estimation from Social Media Images
Donghyeon Won, Zachary C. Steinert-Threlkeld, Jungseock Joo
We develop a novel visual model which can recognize protesters, describe their activities by visual attributes and estimate the level of perceived violence in an image. Studies of…