The integration of social science with computer science and engineering fields has
produced a new area of study: computational social science. This field applies …

The emergence of big data and computational tools has introduced new possibilities for
using large-scale textual sources in sociological research. Recent work in sociology of …

Word embeddings are becoming popular for political science research, yet we know little
about their properties and performance. To help scholars seeking to use these techniques …

The interdisciplinary field of knowledge discovery and data mining emerged from a
necessity of big data requiring new analytical methods beyond the traditional statistical …

A guide for using computational text analysis to learn about the social world From social
media posts and text messages to digital government documents and archives, researchers …

This study analyzes large language models (LLMs) as a methodology for computational
sociology, focusing on applications to supervised text classification. We consider how the …

We provide an introduction of the functioning, implementation, and challenges of
convolutional neural networks (CNNs) to classify visual information in social sciences. This …

What are the costs of the Chinese regime's fixation on quelling dissent in the name of
political order, or" stability?" In Welfare for Autocrats, Jennifer Pan shows that China has …

How can generative artificial intelligence (GAI) be used for sociological research? The
author explores applications to the study of text and images across multiple domains …

Internet censorship mechanisms in China are highly dynamic and yet to be fully accounted
for by existing theories. This study interrogates postpublication censorship on Chinese …