Dados Bibliográficos

AUTOR(ES) P. Dimaggio
AFILIAÇÃO(ÕES) Princeton University Press
ANO 2015
TIPO Artigo
PERIÓDICO Big Data & Society
ISSN 2053-9517
E-ISSN 2053-9517
DOI 10.1177/2053951715602908
CITAÇÕES 25
ADICIONADO EM 2025-08-18
MD5 6f16c1a96b77a5688f5aa7fc948a44f8

Resumo

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.

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