Showing papers by "Paul DiMaggio published in 2015"

Adapting computational text analysis to social science (and vice versa)

Abstract: Social scientists and computer scientist are divided by small differences in perspective and not by any significant disciplinary divide. In the field of text analysis, several such differences are noted: social scientists often use unsupervised models to explore corpora, whereas many computer scientists employ supervised models to train data; social scientists hold to more conventional causal notions than do most computer scientists, and often favor intense exploitation of existing algorithms, whereas computer scientists focus more on developing new models; and computer scientists tend to trust human judgment more than social scientists do. These differences have implications that potentially can improve the practice of social science.

Immigration and the arts: a theoretical inquiry

Abstract: This paper proposes a systematic approach to the study of immigration and art by considering relevant theoretical concepts. We focus on the role of institutions and economic change as forces shaping the expressive alternatives of immigrants and their children.